VortexLinkRemote
Senior Agentic AI Full Stack Developer-Boston, MA(contract -100% remote considered)
Boston, New York, United States of America
Contract
1 week ago
Key skills
PythonGolangAIMLLLMOpenAIAnthropicGeminiRAGLangChainAgenticAutoGenLangGraphPineconeWeaviateReactgRPCAWSGoogle CloudKubernetesDockerCommunication
About this role
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