Our Client Currently looking for Lead Engineer – Agentic AI

Description :

– 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 :

1. LangGraph.

2. LangChain.

3. 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).

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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