CI
GenAi Engineer
CloudRay Inc
🇮🇳 India
On-site
1 month ago
- Machine Learning
- OpenAI
- Azure OpenAI
- LangGraph
- LangChain
- AutoGen
- CrewAI
- Python
- AI
- FastAPI
- RAG
- FAISS
- Pinecone
- pgvector
- n8n
- Azure
- Key Vault
- RBAC
- AWS
- GCP
- Microsoft Graph
- Power Automate
- Salesforce
- ServiceNow
1 month ago
Overall Experience: 8+ Years
Relevant GenAI Experience: 2+ Years
Budget:34 LPA
Notice Period: Immediate / Up to 15 Days
Office Locations:
- Gurugram: DLF Cyber City
- Bangalore: Ulsoor
- Mumbai: Lower Parel
GenAI / Agentic AI
- Hands-on GenAI and Agentic AI delivery experience.
- Must have shipped production-grade solutions using LLMs such as OpenAI, Anthropic, or Azure OpenAI, not just POCs.
- Hands-on experience with agentic frameworks such as LangGraph, LangChain, AutoGen, or CrewAI.
- Strong Python development experience.
- FastAPI and asynchronous programming patterns.
- RAG pipeline design and implementation.
- Vector databases such as FAISS, Pinecone, or pgvector.
- Prompt engineering and LLM evaluation.
- Human-in-the-loop (HITL) workflow design.
- Exposure to n8n or similar workflow automation tools is an added advantage.
- Hands-on experience with Azure services such as Azure OpenAI, Container Apps, Blob Storage, Key Vault, and Entra ID/RBAC, or equivalent AWS/GCP services.
- Secure credential management and managed identity.
- Enterprise integration experience with platforms/APIs such as Microsoft Graph API, Power Automate, Salesforce, ServiceNow, etc.
- Experience designing multi-agent systems.
- Tool/function calling, memory, planning, state management, guardrails and observability.
- HITL approval/escalation gates.
- Ability to explain trade-offs between deterministic business logic and LLM-based decision-making.
GenAi Engineer · CloudRay Inc