Senior Python Developer

We are looking for a highly skilled Senior Python Developer to join our team. 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 Design, optimize, and maintain complex multi-agent state machines, graphs, and tool-calling systems using FastAPI and LangGraph Orchestrate and configure model access, prompt routing, and vector store integrations using the LangChain ecosystem Implement and scale the CopilotKit Python runtime to establish bidirectional, real-time communication protocols between backend agents and frontend client components Build and implement standard interfaces for tool/data integrations using the Model Context Protocol (MCP) to allow external services to connect smoothly with agent ecosystems Package backend services into Docker containers and orchestrate deployments across Kubernetes clusters using Helm charts and GitOps CD engines like ArgoCD Write clean, performant, and heavily asynchronous Python code (asyncio) capable of handling complex parallel tasks, high-concurrency streaming, and model callbacks Requirements 3+ years of experience in software development with strong expertise in Python 3.11+ Proficiency in asynchronous programming (asyncio, uvicorn, anyio) Hands-on background in building stateful, multi-agent systems using LangGraph and LangChain for abstracting LLM runtimes, memory, and output parsing Proven expertise in FastAPI (WebSockets, Background Tasks, SSE streaming) 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 Experience with Java Competency in Docker containerization best practices (multi-stage builds, security pinning) Skills in container orchestration with Kubernetes (writing/modifying Helm charts) Strong exposure to GitOps workflows and continuous deployment using ArgoCD Excellent written and verbal communication skills in English (B2+ level) Nice to have 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)