Role : GenAI / Agentic AI Engineer

Role Overview :

We are looking for an experienced GenAI / Agentic AI Engineer with strong hands-on experience in building and deploying production-grade AI solutions using LLMs and agentic frameworks.

Key Responsibilities :

- Build and deploy production-grade GenAI and Agentic AI solutions using OpenAI, Anthropic, and Azure OpenAI.

- Develop agentic workflows using LangGraph, LangChain, AutoGen, or CrewAI.

- Design multi-agent systems with tool use, memory, planning, guardrails, observability, and HITL workflows.

- Develop scalable AI applications using Python, FastAPI, and async patterns.

- Build RAG pipelines using vector databases such as FAISS, Pinecone, and pgvector.

- Implement prompt engineering, LLM evaluations, and AI quality improvement processes.

- Deploy AI solutions on Azure, including Azure OpenAI, Container Apps, Blob, Key Vault, and Entra ID/RBAC.

- Implement secure credential management, managed identity, and enterprise authentication.

- Integrate AI solutions with Graph API, Power Automate, Salesforce, and other enterprise platforms.

- Design workflows balancing deterministic logic and LLM-based judgment.

- Work with n8n or similar workflow automation tools as required.

Tech Stack :

- Python, FastAPI, Azure, LangGraph, LangChain, AutoGen, CrewAI, FAISS, Pinecone, pgvector.

Requirements :

- 8+ years of overall experience in Data Science, Generative AI, and Agentic AI Development.

- Hands-on production experience with LLMs and Agentic AI.

- Strong Azure / AWS / GCP deployment experience.

- Enterprise API and integration experience.