Senior Python Developer (AI, React, Java)

We are looking for a highly skilled Senior Python Developer . In this role, you will design, build, and deploy the next generation of our intelligent agent infrastructure. You will focus on building robust backend agent workflows, setting up high-performance streaming protocols for user-agent interaction, and ensuring seamless deployment at scale using GitOps. Our ideal candidate is passionate about the evolving AI ecosystem, deeply comfortable with asynchronous programming in Python, and experienced in bringing complex agentic workflows into production. Responsibilities Agent Backend Development: Design, optimize, and maintain complex multi-agent state machines, graphs, and tool-calling systems using FastAPI and LangGraph AI Model Integration: Orchestrate and configure model access, prompt routing, and vector store integrations using the LangChain ecosystem Agent-to-UI Streaming: Implement and scale the CopilotKit Python runtime to establish bidirectional, real-time communication protocols between backend agents and frontend client components Integration & Interoperability: Build and implement standard interfaces for tool/data integrations using the Model Context Protocol (MCP) to allow external services to connect smoothly with our agent ecosystems Production Deployment: Package backend services into Docker containers and orchestrate deployments across Kubernetes clusters using Helm charts and GitOps CD engines like ArgoCD Performance & Reliability: Write clean, performant, and heavily asynchronous Python code (asyncio) capable of handling complex parallel tasks, high-concurrency streaming, and model callbacks Requirements Core Language: Strong expertise in Python 3.11+, with deep knowledge of asynchronous programming (asyncio, uvicorn, anyio) AI/Agent Frameworks: Hands-on experience building stateful, multi-agent systems using LangGraph and utilizing LangChain for abstracting LLM runtimes, memory, and output parsing Proven experience with FastAPI (WebSockets, Background Tasks, SSE streaming) Direct experience or strong familiarity with the CopilotKit Python SDK / runtime for co-agent interactions Practical, working knowledge of the Model Context Protocol (MCP) for building standardized tool integration servers Docker containerization best practices (multi-stage builds, security pinning) Container orchestration with Kubernetes (writing/modifying Helm charts) Strong exposure to GitOps workflows and continuous deployment using ArgoCD Nice to have 1+ year of experience with Java Experience with vector databases (e.g., Pinecone, Milvus, Qdrant, PGVector) Understanding of frontend integration concepts (e.g., React, Next.js, and how CopilotKit hooks interact with the frontend components) Contributions to open-source AI frameworks (LangChain, LangGraph, CopilotKit, or MCP servers) Familiarity with distributed tracing for LLM applications (e.g., LangSmith, Phoenix, or Arize)