Emergence AI is building next-generation agentic AI systems that move beyond code generation to provable task completion, verification, and long-horizon autonomy. Our Platform focuses on automating complex, mission-critical data workflows, from ingestion and transformation through analysis, decisioning, and action.
We work with customers in semiconductors, life sciences, and other data-intensive industries to turn fragmented, high-stakes data into trustworthy, continuously-operating AI Agents.
We're seeking a “Software Engineer - Full Stack” to build robust, tested, and scalable systems across our platform. You'll work across backend services, frontend interfaces, and AI agent tooling , contributing to test automation, API development, and production infrastructure that powers autonomous agents for enterprise customers. This is an excellent opportunity for an early-career engineer to gain deep experience in production AI systems while working alongside senior engineers and researchers.
Requirements:Test Automation & Quality EngineeringBuild and maintain comprehensive test automation suites across backend APIs, frontend components, and agent workflowsDesign integration tests that validate multi-service interactions and agent orchestration patternsImplement end-to-end test scenarios covering data ingestion, transformation, and agent decision pipelinesDevelop automated regression testing frameworks to ensure platform reliability and reduce manual QA overheadCreate testing infrastructure for agent evaluation, including output validation and performance benchmarkingFull-Stack DevelopmentBuild backend services and APIs using Python to support agent runtimes and data pipelinesDevelop frontend interfaces for agent monitoring, workflow visualization, and human-in-the-loop approval systemsImplement RESTful and event-driven APIs that connect agent systems to enterprise data sourcesWrite clean, maintainable code following team conventions and code review feedbackAI Agent Tooling & DevelopmentBuild tooling and utilities that accelerate agent development and debugging workflowsContribute to agent evaluation frameworks and observability dashboardsParticipate in agent workflow design and implementation under senior engineer mentorshipHelp instrument agent systems with logging, tracing, and performance monitoringCollaboration & GrowthWork closely with senior engineers on architectural design and production deploymentParticipate in code reviews, design discussions, and team planning sessionsDocument systems, APIs, and testing strategies to support team knowledge sharingTake ownership of features end-to-end with guidance from experienced team membersRequirementsRequired QualificationsTechnical Foundations
Bachelor's or Master's degree in Computer Science, Software Engineering, or related field (or equivalent experience)0-3 years of professional software engineering experienceStrong programming fundamentals in Python or similar languages (Java, TypeScript, Go)Experience building and consuming RESTful APIsUnderstanding of relational databases, SQL, and data modeling basicsFamiliarity with version control (Git), CI/CD pipelines, and automated testing frameworksSoftware Engineering Skills
Ability to write clean, well-tested code with attention to edge cases and error handlingExperience with test automation frameworks (pytest, Jest, Selenium, Playwright, or similar)Understanding of async programming concepts and concurrent systemsBasic knowledge of frontend development (React, TypeScript, HTML/CSS) or willingness to learnMindset & Attributes
High curiosity and growth mindset, excited to learn new technologies and domainsStrong problem-solving skills and ability to debug complex issues independentlyExcellent communication and collaboration skillsWillingness to take ownership and iterate based on feedbackInterest in AI/ML systems and agentic AI (prior experience not required)Nice to HaveAcademic projects or internships involving machine learning, NLP, or AI systemsExperience with FastAPI, asyncio, or event-driven architecturesExposure to Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure)Base Salary: $120,000 to $140,000 USD
Learn from senior engineers in a high-growth space. You'll receive hands-on mentorship from experienced engineers and researchers who are deeply invested in your growth. Our small team means you'll have direct access to technical leaders and accelerated learning opportunities.
Own problems end-to-end early in your career. You'll have the autonomy to take features from design through testing, deployment, and iteration in production with guidance and support from the team. This isn't a junior role where you only fix bugs; you'll ship real features.
Make an immediate impact on platform quality. By building robust test automation and quality infrastructure, you'll enable the team to move faster with confidence , reducing manual QA overhead and ensuring our agents operate reliably on high-stakes customer data.
If you're excited about building AI systems and want to accelerate your growth as an engineer in a small, senior team, we'd love to talk.
