Lead Engineer

Design and develop Agentic AI solutions for enterprise-level use cases Build and deploy AI/ML applications using modern frameworks and tools Develop scalable APIs using FastAPI (Python-based services) Implement agent orchestration frameworks such as: LangGraph LangChain Crew AI Work on cloud-based AI/ML infrastructure (AWS / Azure / GCP) Integrate AI solutions with internal and external enterprise systems & data platforms Implement observability, monitoring, and guardrails for AI solutions Ensure auditability and explainability (XAI) across solutions Technical Skills Required Core Skills Strong programming experience in Python Hands-on with LLM-based applications / Agentic AI systems API development using FastAPI AI/ML & Frameworks Experience with: LangChain / LangGraph / Crew AI Exposure to model evaluation frameworks Cloud & Infrastructure Strong understanding of: AWS / Azure / GCP AI/ML infrastructure design and deployment DevOps & Deployment CI/CD pipeline implementation Experience with: Docker / Kubernetes / Containerization Building scalable and reliable deployments AI Engineering Tools Familiarity with AI coding assistants such as: GitHub Copilot Codex Claude Code Additional Skills Experience with MCP servers & tools Knowledge of: Observability frameworks Responsible AI (guardrails, safety layers) Good to Have Experience in enterprise AI integration environments Understanding of data ecosystems and API-first architectures Exposure to regulated industry environments (auditability focus)