- 5+ years of software/cloud engineering experience, with recent hands-on experience building GenAI/LLM applications.
- Strong programming expertise in Python and API development using FastAPI.
- Hands-on experience building production-grade RAG applications, including document ingestion, chunking, embeddings, retrieval, grounding, and response generation.
- Practical experience with LangGraph or CrewAI for agent orchestration, tool calling, workflow/state management, and multi-agent use cases.
- Experience integrating LLM applications with enterprise systems using MCP or equivalent tool/context integration patterns.
- Solid understanding of vector search, embeddings, semantic retrieval, and knowledge graphs.
- Hands-on experience with Azure OpenAI and Azure AI Search.
- Strong Kubernetes experience, preferably deploying AI workloads on AKS.
- Experience provisioning cloud infrastructure through Terraform.
- Experience implementing automated CI/CD using GitHub Actions.
- Experience implementing production observability for LLM/agent applications using LangSmith, OpenTelemetry, and/or Azure Monitor.
- Strong understanding of enterprise security practices including secrets management, identity/access controls, and Azure Key Vault.
📌 AI Engineer (Gurugram)
🏢 StatusNeo
📍 Gurugram
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.