Lead AI Software Engineer
Core
Design, build, and deliver next-generation AI-enabled applications and agentic systems integrating MCP infrastructure, LLMs, and secure enterprise integrations.
Role type
Lead AI Software Engineer (Full Stack)
Builds
User-facing AI applications, Python backend services, MCP servers, and agent orchestration platforms.
Domain
Enterprise AI, Agentic Systems, Model Context Protocol (MCP)
Deliverable
production ML models | product features
Required skills
Python, React, TypeScript, MCP protocol, agent orchestration frameworks, REST APIs, authentication/authorization patterns, containerization (Kubernetes/OpenShift)
Preferred skills
FastMCP, LangChain, Google ADK, RAG systems, vector search, agent observability (LangSmith, OpenTelemetry), Docker, Copilot Studio
Technologies
React, TypeScript, Python, FastAPI, Flask, MCP, LangChain, Google ADK, Arize, Splunk, OpenShift, Kubernetes, Playwright
Responsibilities
Design and build AI-enabled applications using React and Python; develop MCP servers and clients for secure context sharing; implement agentic workflows and skill-based modular agents; integrate AI-powered UIs with backend APIs and RAG systems; enforce RBAC policies for tool and service access; ensure deployment readiness on enterprise container platforms; write technical documentation and maintain CI/CD practices.
Seniority
Lead, hands-on IC with architectural influence