AI Engineer

Job Description:

Design, develop, and deploy enterprise AI solutions leveraging LangChain, LangGraph, RAG, Agentic AI, and AI Governance. Senior engineers will additionally lead architecture, governance, and AI strategy initiatives.

 

Primary Skills: Python, LangChain, LangGraph, RAG, Agentic AI, OpenAI, Vector Databases, AI Governance, Cloud AI.

 

Key Responsibilities

• Build and deploy LLM-based applications, agents, and RAG solutions using LangChain/LangGraph.
• Develop prompt workflows, orchestration pipelines, and vector search solutions.
• Integrate LLMs with APIs, databases, and enterprise platforms.
• Implement AI governance, safety, compliance, and risk controls.
• Deploy and scale AI solutions on cloud platforms.
• Senior: Lead AI architecture, mentor teams, define best practices, and drive AI innovation.

Required Skills

• Strong Python development experience.
• Hands-on expertise in LangChain, LangGraph, OpenAI/Azure OpenAI.
• Experience with RAG, Vector Databases (Pinecone, FAISS, Chroma, Weaviate), and Agentic AI.
• Understanding of AI Governance, Responsible AI, Safety, and Compliance.
• Experience deploying enterprise AI solutions in AWS, Azure, or Google Cloud Platform.

Preferred Skills

• Multi-Agent Systems and advanced AI orchestration.
• Guardrails, AI auditing, and compliance tooling.
• Experience leading enterprise AI programs and mentoring teams.