Agentic Ai (Senior Engineer)

Net Connect; Bengaluru; On-site; INR 2,400,000 - 2,760,000; Full time

Job summary

NetConnect Global in Gurgaon/Bangalore is hiring a Senior AI Engineer to lead production-grade LLM applications and agentic AI workflows. The role blends AI design with scalable data pipelines and enterprise integration in a hybrid setup.

Applicants should have 3+ years of AI/ML experience and a degree in CS/IT/AI/Data Science. The team works across AWS/Azure, LangChain, and modern MLOps practices in a fast-paced environment.

Qualifications

• 3+ years of experience in AI/ML
• B.E./B.Tech./M.Sc. in CS/IT/AI/Data Science or related field

Responsibilities

• Build production-grade LLM applications and Agentic AI workflows.
• Develop scalable RAG pipelines, AI agents, and tool integrations.
• Design FastAPI-based AI services and integrate enterprise data sources.
• Deploy AI solutions using Docker, Kubernetes, AWS/Azure.
• Implement observability, guardrails, hallucination detection, and AI optimization.
• Collaborate with Architects and Data Scientists to deliver enterprise AI solutions.

Skills

Agentic AI

Python

LangChain

LangGraph

RAG

LLMs

Prompt Engineering

Docker & Kubernetes

AWS / Azure

Vector Databases

CI/CD & MLOps

Education

B.E./B.Tech./M.Sc. in CS/IT/AI/Data Science

Job description

We're Hiring | Senior AI Engineer / Lead AI Engineer | Gurgaon & Bangalore| Hybrid

NetConnect Global is hiring for a leading client.

Location: Gurgaon / Pune (Hybrid)
Role: Senior AI Engineer
Experience: 3+ Years
CTC: 24 LPA
Employment Type: Full-Time
Project Duration: 12 Months

Mandatory Skills

• Agentic AI & Generative AI
• Python, FastAPI
• LangChain, LangGraph
• RAG (Retrieval-Augmented Generation)
• Large Language Models (LLMs)
• Prompt Engineering
• Docker & Kubernetes
• AWS / Azure
• Vector Databases (Pinecone, Qdrant, pgvector)
• CI/CD & MLOps

Key Responsibilities

• Build production-grade LLM applications and Agentic AI workflows.
• Develop scalable RAG pipelines, AI agents, and tool integrations.
• Design FastAPI-based AI services and integrate enterprise data sources.
• Deploy AI solutions using Docker, Kubernetes, AWS/Azure.
• Implement observability, guardrails, hallucination detection, and AI optimization.
• Collaborate with Architects and Data Scientists to deliver enterprise AI solutions.

Qualification: B.E./B.Tech./M.Sc. in Computer Science, IT, AI, Data Science, or related field.