Description

You will design and build Agentic AI solutions, owning the full lifecycle from development to observability.

This role is hybrid.

Responsibilities

• Build generative AI applications and agentic systems using Python and frameworks like LangChain, LangGraph, Semantic Kernel, or Copilot Studio.
• Implement RAG pipelines with vector databases (Pinecone, FAISS, Weaviate, Chroma) and handle prompt engineering.
• Establish AI observability, monitoring, cost optimization, and drift detection strategies.
• Ensure responsible AI practices and governance while developing REST APIs and microservices.
• Manage CI/CD pipelines and cloud infrastructure on Azure, AWS, or GCP.

Required Skills

• 8+ years of software development and SDLC experience with strong OOP and enterprise engineering practices.
• 2+ years of hands-on LLM and Generative AI development.
• Proficiency in Python and AI agentic frameworks (LangChain/LangGraph, Semantic Kernel, Copilot Studio).
• Experience with OpenAI/Anthropic tool calling, prompt engineering, and LLM evaluation.
• Knowledge of RAG architectures and vector databases (Pinecone, FAISS, Weaviate, Chroma).
• Cloud platform experience (Azure, AWS, or GCP) and DevOps/CI/CD skills.
• Understanding of AI observability, monitoring, and cost optimization.

Key Skills

Education

Bachelor's degree