Full-time | On-site
Location: San Francisco, CA
We are building the enterprise AI layer that enables agents to perform complex, judgment-heavy work by learning and leveraging a customer’s institutional intelligence. Our platform drives significant productivity gains for Fortune 100 companies across engineering, finance, and consulting. We are seeking a Software Engineer (Member of Technical Staff) to architect and ship the core systems that make this possible.
As a Software Engineer (MTS), you will own the end-to-end development of critical, real-time features that empower our AI agents. This role blends full-stack development with strategic system design, directly impacting measurable customer outcomes.
Key Responsibilities:
Architect and ship core product features including rich editors, interactive dashboards, and real-time "Autopilot" user experiences where agents plan and execute with sub-100ms interactions.Design and build integrations that ground AI agents in the customer’s operational tools (e.g., Google Workspace, O365, Slack, Linear, etc.) across hundreds of potential endpoints.Develop the learning flywheel that converts expert user feedback into demonstrably smarter and more capable agents over time.Collaborate tightly with Product and Design to translate complex customer insights into scalable, cross-customer capabilities.Work across the full stack to build systems that allow agents to analyze logs, run due diligence, generate client deliverables, and ship code.Requirements
We are looking for a high-intensity, collaborative engineer with significant full-stack experience in a fast-paced environment.
Up to 5 years of professional full-stack software engineering experience (impressive personal projects are considered alongside professional tenure).Strong focus on TypeScript/React for building rich, interactive web applications.Proficiency in Python for backend development.Familiarity with our core tech stack is highly beneficial: Next.js, Tailwind CSS, Python (FastAPI), Postgres, Redis, and Kubernetes.Experience utilizing leading AI model APIs (e.g., OpenAI, Anthropic API) is a plus.Demonstrated ability to design scalable systems and thrive in a high-ownership, low-ego team culture.Work Policy:
This is a full-time, on-site role requiring 6 days per week in the office in San Francisco, CA.Visa sponsorship and transfer are available for the right candidate.Benefits
Join an early-stage, well-funded team with alumni from top tech companies, where you will have outsized impact and ownership in a generative AI startup.
Competitive Salary: Base salary ranging from $130,000 - $200,000.Significant Equity: Early-stage equity offering between 0.05% - 0.2%.High Impact: Work that directly drives measurable outcomes (cutting cycle times by 90%+) for Fortune 100 customers.Team Environment: Highly collaborative, high-intensity, and low-ego culture.Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
Commitment to Equality and Accessibility:
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.
Read LessFull-time
Remote (US/NY Overlap Required)
We are an early-stage company building a comprehensive online community platform from first principles. We are looking for a highly autonomous Senior Software Engineer to be a foundational member of our engineering team, contributing significantly to product direction and building scalable systems.
As a Senior Software Engineer, you'll be a generalist responsible for the entire feature lifecycle, from scoping and architecture to production deployment and scaling. You will primarily work with TypeScript and functional programming patterns to create high-quality, maintainable code.
What you'll do:
Work closely with the leadership and product teams to scope and prioritize new features, directly influencing the product roadmap.Write modular, maintainable, and thoughtful code with a strong emphasis on TypeScript and functional programming patterns.Create technical rails and guardrails to enable AI coding agents to robustly make changes and develop new features, pushing the boundaries of engineering efficiency.Monitor and maintain our production environment, working with users to quickly identify and resolve bugs.Take full ownership of various features across the full stack, from database interactions and API design to responsive front-end components.Optimize API server infrastructure and database queries to ensure high performance and accommodate rapid usage growth.Requirements
This role demands a strong technical foundation, expertise in modern JavaScript, and an autonomous, product-driven mindset suitable for an early-stage startup.3+ years of experience in software engineering, specifically with a strong background in TypeScript and functional programming.Proven track record of building scalable systems with a strong product sense.Comfort working autonomously in an early-stage startup environment.Familiarity with our core tech stack: TypeScript, React, and Node.js.Bonus points for:Experience with React Native.A strong lean towards backend infrastructure scaling.Prior experience founding a company.Work Policy:
This is a fully remote position, but candidates must be able to overlap at least five hours with New York (ET) time zone working hours.Visa sponsorship is not available.Benefits
Join a small, passionate team where you will have maximum impact and highly competitive compensation designed to attract top talent.
Salary Range: $160,000 - $200,000 (Base Salary).Equity: Competitive Equity offering in an early-stage, well-funded company.High Ownership: The opportunity to significantly influence product direction and own large, complex features end-to-end.Unique Challenge: Work on cutting-edge problems related to AI assistance in the coding process.Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
Commitment to Equality and Accessibility:
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.
Read LessFull-time | Hybrid
Location: San Francisco Bay Area
We are a high-growth, well-funded technology company pioneering the Composable Customer Data Platform (CDP) and AI Decisioning space. We empower every business user to leverage data and AI for marketing personalization and business operations. We are looking for a product-minded Software Engineer to explore new 0→1 opportunities in AI and define the future of AI-powered marketing.
This is a unique, high-impact role focused on prototyping and shipping entirely new product ideas. You will blend backend engineering, data analysis, and applied AI to create infrastructure and features that generate insights and content from vast customer datasets.
What you'll work on:
Own 0→1 AI Opportunities: Take ownership of exploring and developing new product lines, particularly within the marketing domain, leveraging AI/ML.Build AI Infrastructure: Design and build early experiments and the necessary infrastructure (LLMs, light ML) to generate sophisticated insights and personalized content directly from customer data.Rapid Prototyping: Work closely with a small team, including the CTO and COO, to quickly prototype and ship new product ideas that lay the groundwork for major product lines.AI Methodology Exploration: Explore different AI methodologies and determine where various LLMs can and cannot be most effectively and reliably used within the product.Develop AI Agents: Contribute to the development of an automated AI agent capable of finding unique insights, converting them into marketing opportunities, generating content, and identifying high-propensity users or those likely to churn.Requirements
The ideal candidate is a senior-level engineer with a product-first mindset, comfortable operating with speed and ambiguity in an early-stage exploration environment.
4–12 years of software engineering experience with a strong product-first mindset.Proven track record of building and scaling AI/ML-driven products.Proficiency in Backend Engineering and experience working with LLMs and/or light ML for content or insight generation.Strong background in data analysis and the ability to apply AI models to derive business value from customer data.Excellent collaboration and communication skills, necessary for working closely with founders and product leadership to define vision.Work Policy:
This is a full-time, hybrid role. Candidates must be based in the San Francisco Bay Area to occasionally visit the office for critical team meetings.Visa sponsorship is available (can sponsor most visas).Benefits
Join a high-value company ($1.2B valuation, Series C) backed by top-tier investors, where you will have maximum technical autonomy and the chance to define entirely new market categories.
Highly Competitive Salary: Base salary ranging from $200,000 - $300,000.Equity: Competitive Equity package in a well-funded, proven technology company.High Impact: Opportunity to work directly with leadership on 0→1 product exploration with the potential to create major new product lines.Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
Commitment to Equality and Accessibility:
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.
Read LessFull-time | Hybrid
Location: New York, NY
We are an innovative AI company on a mission to create "Superhumans" by pairing every person with an AI teammate. Our platform transforms complex business workflows across the distribution economy (e.g., quoting, claims, backlogs) into codifiable, self-running processes. We are seeking a Senior Software Engineer to be a technical leader in developing our core AI workflow platform.
This is a key leadership role where you will drive the platform's technical direction, quality standards, and feature development. You must be comfortable bridging technical implementation with strategic business and client needs.
What you will be doing:
Lead Platform Design and Development: Drive the design and implementation of our core AI workflow platform, ensuring high standards for scalability, reliability, and performance.Architect Complex Features: Architect and implement significant new features and capabilities in close collaboration with Product, UI/UX, and Business Development teams.Drive Technical Excellence: Establish and enforce best practices for code quality, architectural patterns, system design, and security across the engineering organization.Customer Technical Consulting: Act as a technical consultant to our clients, answering complex technical questions and assisting with client-specific feature requests and integrations (e.g., Salesforce, SAP, ERPs).Mentorship and Growth: Provide mentorship and guidance to junior and mid-level engineers, fostering a strong culture of continuous learning and technical growth.Requirements
We are looking for a versatile, product-focused engineer with a track record of leadership and expertise in modern full-stack or backend development.
4–6 years of experience as a full-stack or backend engineer.Proven experience leading and mentoring engineering teams or major technical initiatives.Proficiency in languages used in our stack, including Python, TypeScript, and/or JavaScript.Experience designing and scaling complex, reliable systems on cloud platforms (AWS and/or GCP).Strong communication skills, capable of effectively interfacing with non-technical stakeholders and external clients.Ability to thrive in a fast-paced, agile, early-stage environment and comfortably own projects end-to-end.Work Policy:
This is a full-time, hybrid role based in New York, NY.Visa sponsorship is not available for this position.Benefits
Join an elite, well-funded ($25M to date) team where your work directly enables core business functions at some of the world’s most demanding companies.
Competitive Salary: Base salary ranging from $140,000 - $180,000.Equity: Opportunity for a stock option award, commensurate with experience.Comprehensive Coverage: Health, dental, and vision insurance.Financial Planning: 401K contributions.Growth & Development: Continued Education Benefit.Perks: Commuter Benefits.Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
Commitment to Equality and Accessibility:
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.
Read LessFull-time | On-site
Location: Williamsburg, Brooklyn, NYC
We are a high-growth, AI-native platform redefining the infrastructure for the $600B digital advertising ecosystem. We seamlessly connect brands and creators, enabling performant, scalable, and authentic marketing through true word-of-mouth at scale. We are seeking a Senior Software Engineer to join us as a foundational member of the engineering team.
You will work directly with our founders to design, build, and launch new product features across the full stack. This role offers significant ownership and the opportunity to tackle complex, impactful engineering problems in a high-performance environment.
What You Will Do:
Own End-to-End Development: Ship real functionality weekly, taking features from the first line of code to production across client and server.Tackle Complex Engineering Challenges: Solve fundamental problems related to marketplace design, multimodal content understanding using Large Models, and high-performance campaign optimization.Design Technical Architecture: Make key technical decisions that directly shape product direction and business outcomes, ensuring maintainability and scalability.Work Across the Stack: Utilize our core technologies, including React/Next.js for the client and Python/Django/Postgres for the server/backend systems.Foster Fast Execution: Operate with urgency and autonomy, balancing long-term technical rigor with the need for speed inherent in an early-stage, high-growth environment.Collaborate Closely: Work directly with founders and cross-functional teams to translate strategic goals into tangible, high-quality product features.Requirements
We are looking for a strong generalist with a proven track record of building and scaling high-quality, maintainable products in fast-paced environments.
3 – 10 years of experience as a Software Engineer.Strong generalist experience building and scaling high-quality, maintainable products from the client to the server.Proficiency with our core Tech Stack:Front-end: React / Next.js.Backend/Data: Python / Django / Postgres.Experience in or aptitude for addressing complex challenges related to marketplace dynamics or large-scale data processing/AI integration.Proven ability to thrive in an early-stage or high-growth environment with a focus on fast execution and significant ownership.Work Policy:
This is a full-time, in-person role based in Williamsburg, Brooklyn, NYC.Visa sponsorship is not available for this position.Benefits
Join a well-funded company backed by top-tier investors (Benchmark, Craft) and recognized as a potential future "Billion Dollar Startup," offering early-stage equity upside and unique perks.
Competitive Salary: Base salary ranging from $150,000 - $225,000.Equity: Competitive Equity package in a high-growth company.Comprehensive Healthcare: Full coverage for medical, dental, and vision plans.Financial Planning: Access to a 401K plan.Unique Perk: $100 monthly allowance to spend on the company's brand clients (e.g., DoorDash, Bombas) while utilizing the product.In-Office Perks: Company lunches provided 3 days a week and a collaborative work environment.Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
Commitment to Equality and Accessibility:
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.
Read LessFull-time | On-site
Location: San Francisco, CA
We are a rapidly growing, cash-flow positive technology company modernizing a $12 trillion global industry. We are seeking a world-class Software Engineer to join our team, focusing on simplifying complex systems, unifying fragmented data, and building high-scale backend infrastructure. This is a unique opportunity to join an early-stage company with de-risked fundamentals and high impact potential.
This role involves tackling massive technical challenges by connecting and unifying disparate, legacy software systems. You will build the foundational infrastructure and user-facing applications that automate core industry workflows, providing tremendous value to customers.
Role Responsibilities:
Develop and maintain high-scale backend systems that handle millions of API requests daily, focusing on performance, reliability, and speed.Unify fragmented systems by defining a single, scalable standard for data models, authentication, and features like filtering and pagination across dozens of integrations.Innovate solutions for connecting with legacy, on-premise systems (SQL-based, DLL-based, API-based) to provide secure, fast, and reliable cloud-based access, often requiring creative approaches like building real-time communication layers (e.g., using WebSockets) where native APIs do not exist.Build full-stack applications (including front-end UIs) that "dog-food" our own APIs, ensuring the highest level of API quality and performance.Focus on Operational Excellence, creating a reliable API layer on top of inherently unstable legacy systems, enforced by strict SLAs.Work across the technical stack, utilizing Postgres, Redis, and AWS infrastructure (CDK, EC2).Contribute to a culture of constant iteration, shipping code daily based on direct customer feedback.Requirements
We are looking for an ambitious, independent engineer who thrives in a fast-paced, high-ownership environment.0 – 1 years of post-graduation experience as a Backend or Full-Stack Software Engineer. This is an ideal role for a high-potential new graduate.Must be able to work independently and take full ownership of tasks with minimal supervision or guidance.Experience or strong familiarity with our core Tech Stack: Redis, Postgres, and AWS (CDK, EC2).Strong desire to simplify complex technical problems and unify fragmented data sets.Commitment to high-velocity development and iterative product building based on customer needs.Work Policy:
This is a fully on-site position in San Francisco, CA, requiring attendance 5 days a week.Visa Sponsorship is available for qualified US and CAN candidates (including TN, OPT, and H1B Transfer).Benefits
Join an experienced founding team with a strong track record (acquired by Amazon) and a company that has strategically eliminated key risks while maintaining high growth upside.
Competitive Compensation: Base salary between $130,000 - $160,000.Significant Early Equity: Own a meaningful stake with equity ranging from 0.05% - 0.20%.Health & Wellness: We cover 90% of your healthcare costs with several plan options.401k: Generous matching—we match 100% of your contributions, up to 4% of your annual salary.Relocation Support: Sizable relocation bonus for candidates moving to the Bay Area.Daily Meals: DoorDash stipend for dinner, plus a fully stocked kitchen with snacks and drinks.On-site Amenities: Access to an on-site gym including Peloton, squat racks, and more.Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
Commitment to Equality and Accessibility:
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.
Read LessLocation: Remote (US Only) or Hybrid (San Francisco Bay Area)
Employment Type: Full-time
Salary Range: $150K - $300K (Varies by level and location)
We are building a cutting-edge Clinical Data Intelligence platform that automates complex, low-level cognitive tasks involving clinical data and knowledge. We are seeking a highly experienced Senior Data/AI/ML Software Engineer to design, implement, and improve the core components of our system, leveraging advanced AI/ML/NLP techniques to dramatically increase efficiency in healthcare.
This role requires expertise across software engineering, AI/ML, and data engineering, with a focus on building data-intensive systems that empower clinicians and improve healthcare operations.
What You'll Do:Build and improve core AI/ML systems for extracting and summarizing clinical and health information that directly power applications used by clinicians daily.Engineer and analyze data—including scraping, collecting, transforming, querying, mining, and distilling structured/unstructured data—to evaluate system quality, draw insights, and expand/refine our clinical knowledge graph.Develop and deploy secure code, maintaining strict confidentiality, integrity, and availability of information systems in compliance with HIPAA and SOC 2.Build and improve supporting data/AI/ML systems and automations, ensuring seamless integration and scaling.Participate in rotating on-call duties to ensure high system uptime and reliability.Work across a modern, robust tech stack including Python, SQL, PostgreSQL, PyTorch, LLM Prompt Engineering, and Google Cloud Platform (GCP).Requirements
Experience: 7+ years of full-time (not internships or contract work) experience in AI/ML, Data, or Full Stack Software Engineering with data-intensive systems.Technical Breadth: Strong background in software engineering, AI/ML/NLP engineering, and data analytics/engineering.Compliance Familiarity: Experience developing and deploying code in environments with high standards for security, privacy, and compliance (e.g., familiar with HIPAA and SOC 2 requirements).Stack Proficiency: Highly proficient in Python and SQL, and experience with cloud environments (e.g., GCP) and data tools (e.g., BigQuery, dbt, Pandas).Work Location: Must be authorized to work in the United States and capable of working during core hours in the Pacific timezone.Visa: H1B transfers are available, but we cannot offer new H1B sponsorships at this time.Bonus Points:Familiarity with the healthcare and medical domains.Experience with LLM prompt engineering and machine reading/knowledge graph technologies.Benefits
Highly competitive salary ranging from $150K - $300K based on level and location.Generous equity package of 0.1% - 0.5%.Flexible Work Policy: Remote-first company culture, with relocation encouraged to the San Francisco Bay Area (Hybrid option available, meeting once a week or more). Exceptional candidates may be considered for fully remote positions.Visa Support: H1B transfers available.Opportunity to work with advanced Machine Reading and Knowledge Graph technology, solving high-impact problems in the healthcare industry.Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
Commitment to Equality and Accessibility:
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.
Read LessLocation: New York City, NY (Hybrid, 3+ days/week on-site)
Employment Type: Full-time
Salary Range: $150K - $250K (Based on experience and quality)
We are a high-growth, mission-driven startup focused on delivering AI-powered solutions in the healthcare sector, specifically targeting a large, underserved patient population. Backed by top-tier VCs, this is a ground-floor opportunity for a high-impact engineer to join as a founding member and lead the technical architecture from inception to launch, with a clear path to engineering leadership.
We are seeking a Senior Fullstack Engineer with 4-10 years of experience to lead the design and launch of our AI-first product. You will work directly with the co-founders, owning major technical decisions and shaping the engineering culture. This role requires speed, autonomy, and a commitment to driving measurable, meaningful impact in a challenging healthcare domain.
Your Key Responsibilities:Build V1 Clinical Operations Layer: Design and ship core full-stack systems—from the first line of code to production-ready tools—across our patient experience, clinician workflows, and Electronic Health Record (EHR) integrations.Lead AI Innovation: Build and scale AI-native features that power the platform, including:Speech-to-text triage and intelligent intake.Care navigation copilots and auto-summarized progress notes.Real-time voice agents that interact with users.Set the Technical Bar and Grow the Team: Own architecture and make major technical decisions. Actively code, review, and ship, while also mentoring and inspiring future teammates to build a culture of speed and excellence.Move at the Speed of Light: Collaborate directly with clinicians, designers, and founders to ship, iterate, and improve features in real-time, free from bureaucratic drag.Requirements
Experience: 4 - 10 years of experience as a Fullstack Software Engineer, preferably in a fast-paced startup environment.Technical Expertise: Strong proficiency across the full stack, with hands-on experience in our core stack: Next.js, Flask, and Node.js.AI/Product Focus: Direct experience or high aptitude for building and architecting AI-native products and integrating AI/ML infrastructure (speech-to-text, summarization, voice agents).Ownership Mentality: Eagerness to own major technical decisions, architecture, and end-to-end product delivery in a zero-to-one capacity.Impact Driven: Passion for using code to solve real-world problems and drive measurable impact in the healthcare/mental health space.Work Style: Thrives in a highly autonomous, collaborative, and fast-moving hybrid work setting (3+ days per week on-site in NYC).Visa: Visa sponsorship is available for exceptional candidates.Benefits
Highly competitive salary package ($150K - $250K) based on experience.Significant early-stage equity (0.5% - 2%) in a high-traction company.Ground Floor Opportunity: Join as the first engineer with a clear trajectory to Engineering Leadership (Head of Engineering) as the team scales.Mission-Driven Impact: Directly contribute to solving complex health challenges for a critical underserved population.Work Environment: Hybrid role in New York City with relocation assistance available.Work with a modern and powerful tech stack including Next.js, Flask, and Node.js.Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
Commitment to Equality and Accessibility:
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.
Read LessLocation: Hybrid - New York or Boston
Compensation: $160,000 – $225,000
We are building an AI-first medical practice from the ground up, focused on a future where collaborative care models integrate clinicians and AI to provide superhuman medical advice. Since our founding, we have raised over $35M from top-tier VC firms and are on track to serve hundreds of thousands of patients, partnering with prominent healthcare organizations nationwide. We are seeking a talented, driven Product Engineer to define the future of human + AI collaborative care.
This is a high-responsibility, hybrid role where you will have significant ownership over our core product and the opportunity to shape the future of our engineering organization. Your work will span the full technology stack, working across web, mobile, backend infrastructure, and AI/MLOps, all while ensuring stability and data integrity for enterprise clients.
What You’ll Be Working On:
Patient & Physician Platforms: Develop engaging, patient-facing features on our web and mobile apps to increase engagement and retention. Simultaneously, improve our physician-facing care platform by integrating AI tooling to increase physician efficiency and clinical capabilities.Backend Scaling & Data Integrity: Scale our backend infrastructure (Postgres/AWS) with a relentless focus on stability, security, and data integrity across the platform.Enterprise Integrations: Build robust integrations with large enterprise clients, including EMR integrations with healthcare providers, claims data structuring with health plans, and HIE records parsing.Cross-Functional Collaboration: Work closely with product, clinical, and commercial teams to lead the future of AI in clinical care.Requirements
Experience: 5+ years of experience building new products from zero to one in fast-paced, high-growth environments.Full-Stack Proficiency: Hands-on experience across the full stack, including web development, mobile development, and data infrastructure.Tech Stack: Strong proficiency in our core stack: TypeScript, Python, React, Next.js, and React Native.Mindset: Self-motivated, creative "doer" who takes ownership of broad initiatives, drives them to completion, and navigates ambiguity with ease.High Bar: Thrives on working alongside exceptional, high-bar teammates and derives energy from collaborative environments.Work Policy: Ability to work in-person 3-4 days per week in either our New York City (Flatiron) or Boston office (Hybrid).Benefits
Compensation: Highly competitive salary range of $160,000 – $225,000 (full-time), plus Competitive Equity.Health & Wellness: Competitive healthcare, vision, and dental benefits.Perks: Snacks and free lunch at the office.Impact: A defining role in a mission-driven company, directly impacting global healthcare access by solving fundamental challenges using AI and clinical expertise.Logistics: Visa sponsorship is not available for this role.Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
Commitment to Equality and Accessibility:
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.
Read LessLocation: San Francisco, CA (100% On-site)
Employment Type: Full-time
Salary Range: $140K - $300K
We are a rapidly growing, well-funded AI company (backed by world-class investors like A16z, Benchmark, and First Round Capital) focused on solving a critical bottleneck for modern AI teams: ingesting complex, real-world enterprise data (like PDFs and spreadsheets) with state-of-the-art accuracy. We have achieved 7x YOY revenue growth, working with hundreds of clients from leading AI startups to large enterprises. We are seeking an exceptional Backend/AI Engineer to build the core platform.
As a Backend/AI Engineer, you will work on our core API, which powers document parsing for hundreds of companies globally. This role requires high agency, a strong bar for quality, and a hands-on approach to the full development lifecycle, from ideation to production.
Core Work Will Include:Integrating and optimizing LLM calls for critical document understanding tasks like structured extraction, form filling, and complex data parsing.Building and improving scalable document processing pipelines that handle various unstructured file formats (PDFs, spreadsheets) at an enterprise scale.Making critical improvements to API design and pre-processing algorithms (e.g., chunking, structured extraction) based on direct customer feedback.Experimenting with new techniques and output structures to continually improve LLM accuracy and reduce latency.Building internal tooling and evaluation systems (evals) to rigorously analyze failure cases and optimize model performance.Working directly with the founders and customers to shape the product direction and engineering strategy in a dynamic environment.Requirements
Experience: 2+ years of experience building real-world applications and integrating AI/LLMs into production systems (Ideal candidates have 1-5 years building 0-to-1 products, ideally in a startup setting).Language Proficiency: Exceptional proficiency in Python.Approach: A quantitative, high-agency approach to building products. Ability to debug, experiment, and iterate fast. You are your own worst critic and have a high bar for quality ("no settling for 90%").Tools: Comfortable building internal tools (e.g., quick Streamlit apps) as needed to test hypotheses or create datasets.Attitude: Ambitious, driven, and excited by hard work and moving quickly in an early-stage company environment.Bonus Points If You:Have prior experience founding a company or building products at early stages.Have experience with advanced techniques like prompt engineering, fine-tuning, or building AI agents.Actively keep up with the latest developments in ML/AI research.Benefits
Highly competitive salary ($140K - $300K) and generous founding-stage equity (0.1% - 1%).Unlimited PTO: We believe in recharging to enable great work.In-Office Perks: Free catered lunch daily to eat with teammates, and reimbursement for transportation costs.Comprehensive Insurance: Generous health insurance covering medical, dental, and vision.Wellness Budget: Up to $150/month reimbursement for health and wellness spending (e.g., gym memberships).Parental Leave: Flexible parental leave schedule designed to work for you and your family.Opportunity to join a small, fast-growing team backed by world-class investors, focused on a critical, category-defining problem in AI.Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
Commitment to Equality and Accessibility:
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.
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