Tiger Analytics is looking for experienced Full Stack Engineer -Lead to join our fast-growing advanced analytics consulting firm. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
We are looking for a Full Stack Engineer / Lead with strong experience in modern web development, cloud-native architecture, and Generative AI (GenAI / LLM integration). This role requires hands-on expertise across frontend, backend, and cloud platforms, along with the ability to design scalable, production-grade systems.
This role requires hands-on technical depth, strong architectural understanding, and the ability to work in a fast-paced hybrid environment.
Responsibilities
Design and develop full stack applications using Vue.js, Node.js, and Python Integrate GenAI / LLM-based solutions into applications (prompt engineering, APIs, model integration) Build and maintain RESTful APIs and/or GraphQL services Develop scalable, event-driven systems using Kafka Deploy and manage applications on AWS (Lambda, S3, RDS, Fargate) Implement CI/CD pipelines and containerized deployments using Docker & Kubernetes Work with relational databases such as Postgres, MySQL, or Oracle Collaborate with cross-functional teams including product, design, and data teams Ensure performance, scalability, and security of applicationsRequirements
10+ years of experience in Full Stack Development Strong hands-on experience with Vue.js, Node.js, and Python Proven experience in GenAI / LLM integration (must-have) Experience with AWS cloud services (Lambda, S3, RDS, Fargate) Solid experience building REST/GraphQL APIs Experience with Kafka or event-driven architecture Hands-on experience with Docker, Kubernetes, and CI/CD pipelines Strong knowledge of RDBMS (Postgres/MySQL/Oracle) Excellent problem-solving and communication skillsBenefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Read LessTiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.
Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. We are a Great Place to Work-Certified™ company, recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG, and others.
Job DescriptionWe are looking for a highly skilled Full Stack Gen AI Engineer with 7+ years of experience in software engineering, with a heavy focus on Python, AWS infrastructure, and Generative AI. The ideal candidate will be responsible for building high-performance API services and implementing complex RAG and Agentic AI architectures.
Key Requirements:
Experience: Minimum of 7+ years of professional experience in software development and AI engineering.API & Backend: Expert in building high-performance API / microservices using Python (FastAPI) deployed on AWS Fargate (ECS) (Most Critical).Generative AI Integration: Hands-on experience integrating Generative AI/LLM APIs, AWS Bedrock, and other model providers.Infrastructure & DevOps: Experience with DevOps, CI/CD pipelines, and ML pipelines within the AWS ecosystem.Agentic AI: Exposure to building Gen AI/Agentic AI applications, managing efficiency, latency, and backend infrastructure.Technical Standards: Strong Python programming skills with a deep understanding of OpenAI API standards, JSON RESTful design, and LLM orchestration.Preferred Skills: Experience working with Bedrock Agent/Core services is a significant plus.Core Focus Areas & ExpectationsCandidates will be expected to demonstrate deep technical proficiency in the following areas:
1. Retrieval-Augmented Generation (RAG)
Ability to design and implement end-to-end RAG pipelines, including retrievers, vector stores (e.g., Pinecone, Weaviate, or pgvector), and generators.Expertise in latency optimization and relevance tuning to ensure production-grade performance.Strategic approach to document chunking and embedding, balancing granularity with semantic coherence.2. Agent Development
Practical experience developing autonomous or semi-autonomous agents using frameworks such as LangChain, CrewAI, or Semantic Kernel.Ability to manage orchestration, tool integration, and robust error handling for non-deterministic AI outputs.Proficiency in managing memory and context (episodic vs. long-term) in multi-turn interactions and external API interfacing.3. Evaluation and Optimization
Familiarity with evaluation frameworks (e.g., RAGAS, TruLens) to assess performance, grounding accuracy, and hallucination detection.Ability to iterate systems based on performance metrics and continuous improvement practices.Why Join Us?This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Every individual comes with a different set of skills and qualities, so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
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