we have this position open for both Bangalore ; Gurgaon locations.
Positions -1
Experience -Lead (8+)
Skill :AI

Location : Gurgaon

Hands-on GenAI/Agentic AI delivery experience (8+ yrs ): Must have shipped production-grade
solutions using LLMs (OpenAI, Anthropic, Azure OpenAI) and agentic frameworks like
LangGraph, LangChain, AutoGen, or CrewAI — not just POCs. Strong Python + orchestration
stack: Proficiency in Python, FastAPI, async patterns, vector DBs (FAISS, Pinecone, pgvector),
RAG pipelines, prompt engineering, evals, and HITL workflow design. Exposure to n8n or
similar workflow tools is a plus. Cloud + enterprise deployment skills: Hands-on with Azure
(Container Apps, Blob, Key Vault, Entra ID/RBAC, Azure OpenAI) or equivalent AWS/GCP.
Should understand secure credential management, managed identity, and enterprise integration
patterns (Graph API, Power Automate, Salesforce, etc.). Agentic architecture depth:
Demonstrated ability to design multi-agent systems — tool use, memory, planning, guardrails,
observability, and HITL gates. Should be able to articulate trade-offs between deterministic logic
vs. LLM-based judgment in workflow design.

we have this position open for both Bangalore ; Gurgaon locations.
Positions -1
Experience -Lead (8+)
Skill :AI

Location : Gurgaon

Hands-on GenAI/Agentic AI delivery experience (8+ yrs ): Must have shipped production-grade
solutions using LLMs (OpenAI, Anthropic, Azure OpenAI) and agentic frameworks like
LangGraph, LangChain, AutoGen, or CrewAI — not just POCs. Strong Python + orchestration
stack: Proficiency in Python, FastAPI, async patterns, vector DBs (FAISS, Pinecone, pgvector),
RAG pipelines, prompt engineering, evals, and HITL workflow design. Exposure to n8n or
similar workflow tools is a plus. Cloud + enterprise deployment skills: Hands-on with Azure
(Container Apps, Blob, Key Vault, Entra ID/RBAC, Azure OpenAI) or equivalent AWS/GCP.
Should understand secure credential management, managed identity, and enterprise integration
patterns (Graph API, Power Automate, Salesforce, etc.). Agentic architecture depth:
Demonstrated ability to design multi-agent systems — tool use, memory, planning, guardrails,
observability, and HITL gates. Should be able to articulate trade-offs between deterministic logic
vs. LLM-based judgment in workflow design.