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)