Agentic AI/Gen AI

E Solutions; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

E Solutions Bangalore seeks a Senior Agentic AI Engineer to help design and deploy agentic automation solutions at scale, applying cutting-edge ML/AI techniques in a fast-paced environment.

You will leverage LangChain, LangGraph, and MCP Protocol to build LLM-powered workflows, using Python and Java, on Azure cloud services and vector databases to ensure scalable and performant solutions.

Qualifications

• Minimum 5 years of professional experience in AI/ML engineering with at least 3 years focused on agentic automation.
• Hands-on experience with Agentic Layer A2A frameworks and MCP Protocol.
• Strong AI/ML skills including vector embeddings, prompt engineering, and context engineering.
• Experience using LangChain and LangGraph to build and orchestrate LLMpowered workflows.
• Strong programming skills in Python; proficiency in at least one additional language (preferably Java).
• Proficient with Azure Cloud services including Azure Functions, Azure Container Apps, and cloudnative architectures.
• Experience working with databases such as Azure AI Search, VectorDB, Redis, and Cosmos DB. Familiarity with Blob Storage and Iceberg is a plus.
• Good understanding of performance optimization and scalable software design.

Skills

Agentic automation

LangChain

LangGraph

Python

Java

Azure Functions

Azure Container Apps

Vector embeddings

prompt engineering

context engineering

LLM workflows

Cosmos DB

Redis

Blob Storage

Iceberg

MCP Protocol

Performance optimization

Scalable software design

Tools

Azure Functions

Azure Container Apps

Azure Cosmos DB

Job description

Role & responsibilities

Senior Agentic AI Engineer

Location- Bangalore

Exp- 4.5 to 8 years

Notice- Immediate to 30 days.

Experience:

• Minimum 5 years of professional experience in AI/ML engineering with at least 3 years focused on agentic automation.
• Technical Expertise:
• Hands-on experience with Agentic Layer A2A frameworks and MCP Protocol.
• Strong AI/ML skills including vector embeddings, prompt engineering, and context engineering.
• Experience using LangChain and LangGraph to build and orchestrate LLMpowered workflows.
• Strong programming skills in Python; proficiency in at least one additional language (preferably Java).
• Proficient with Azure Cloud services including Azure Functions, Azure Container Apps, and cloudnative architectures.
• Experience working with databases such as Azure AI Search, VectorDB, Redis, and Cosmos DB. Familiarity with Blob Storage and Iceberg is a plus.
• Good understanding of performance optimization and scalable software design..