GenAI Agentic AI Engineer

Role Overview

We are looking for a Senior GenAI / Agentic AI Engineer with strong hands-on experience building and deploying production-grade GenAI and Agentic AI solutions.

Key Responsibilities

• Design and develop LLM-powered applications using OpenAI, Anthropic, Azure OpenAI.
  
• Build multi-agent systems using LangGraph, LangChain, AutoGen, CrewAI, or similar frameworks.
  
• Develop RAG pipelines, AI agents, tool calling, memory, planning, guardrails, and HITL workflows.
  
• Build scalable APIs and services using Python, FastAPI, and async programming.
  
• Work with vector databases such as FAISS, Pinecone, and pgvector.
  
• Implement prompt engineering, LLM evaluation, monitoring, and observability.
  
• Deploy solutions on Azure/AWS/GCP, with understanding of secure credential management, RBAC, Managed Identity, and enterprise integrations.
  
• Integrate with platforms such as Microsoft Graph API, Power Automate, and Salesforce.
  
• Make sound architectural decisions between deterministic workflows and LLM-based judgment.
  

Must-Have Skills

• 8+ years software engineering experience with strong GenAI/Agentic AI delivery experience.
  
• Proven production deployment experience—not just POCs.
  
• Strong Python + FastAPI skills.
  
• Hands-on with LLMs, RAG, vector DBs, and agentic frameworks.
  
• Strong understanding of multi-agent architecture, HITL, guardrails, and observability.
  
• Experience with Azure or equivalent AWS/GCP cloud services.
  

Good to Have: n8n/workflow automation, Docker/Kubernetes, CI/CD, LLM cost & performance optimization.