Senior Agentic AI Full Stack Developer-Boston, MA(contract -100% remote considered)
Senior Agentic AI Full Stack Developer Full Stack Engineer proficient in Python, with proven ability to build production-grade multi-agent AI systems , API s and UI Key Responsibilities Build and deploy agentic AI systems multi-agent pipelines, LLM orchestration, tool-use, and RAG workflows Design and develop production grade full stack applications and API's with Python and Golang backends Integrate LLM APIs (OpenAI, Anthropic, Gemini) and open-source models into production applications Build responsive, production-grade UIs that surface agentic AI capabilities to end users Build data management pipelines for agents data ingestion, cleaning, chunking, and structured injection into vector stores and memory layers Ensure data quality and consistency across agent context windows, retrieval pipelines, and tool inputs Develop responsive frontend interfaces to surface AI capabilities to end users Lead client-facing technical discussions requirements gathering, architecture walkthroughs, and delivery reviews Take end-to-end technical ownership of engagements from PoC through production handoff Collaborate with AI/ML and DevOps teams on inference stack integration and system observability Requirements s Skills Must-Have 5+ years of full stack engineering experience Proficiency in Python and Golang for backend development Hands-on experience building agentic AI systems LangChain, LangGraph, CrewAI, AutoGen, or equivalent Strong UI/frontend skills with framework like React , with ability to design clean, functional interfaces Familiarity with LLM APIs, cotext engineering, and RAG pipeline design Experience with REST/gRPC API design and microservices architecture Frontend development skills (React or equivalent) Experience with vector databases (Pinecone, Weaviate, pgvector) Exposure to observability tooling for AI systems (LangSmith, LangWatch, Helicone) Strong communication skills able to lead client interactions and own technical narratives Good to Have Containerization and cloud deployment (Docker, Kubernetes, AWS/Google Cloud Platform) Familiarity with streaming inference and low-latency serving patterns
For applications and inquiries, contact:[email protected]
Sign in
To continue your applicationor continue with email
By continuing you agree to our Terms & Privacy Policy.
