GenAI- Sr Software Engineer

Sopra Steria; Dadri; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

none

Job summary

Sopra Steria is seeking an AI Engineer to design, develop, and deploy AI-powered applications using LLMs, RAG, and agentic frameworks. You will build copilots, agents, and autonomous workflows, integrating with enterprise systems and cloud platforms.

The role emphasizes hands-on development with LangChain, AutoGen, and Microsoft/AWS/GCP deployments, plus collaboration across engineering, product, and leadership teams.

Qualifications

• 3-8 years of overall software engineering experience.
• Minimum 2 years hands-on Generative AI/Agentic AI/LLM development.
• Experience building and delivering AI-powered applications in enterprise environments.

Responsibilities

• Design and develop AI agents, copilots, and autonomous workflows.
• Build solutions using LangChain, LangGraph, CrewAI, AutoGen, and Google ADK.
• Develop RAG solutions, semantic search capabilities, and enterprise knowledge assistants.
• Integrate AI solutions with business applications, APIs, databases, and enterprise systems.
• Leverage AI-assisted development tools such as Claude Code, Cursor, and GitHub Copilot.
• Package, deploy, and monitor AI applications in cloud environments.
• Contribute reusable frameworks, accelerators, and AI engineering best practices.

Skills

Python

REST APIs

FastAPI/Flask

Software engineering

LangChain

LangGraph

CrewAI

AutoGen

Google ADK

Prompt Engineering

Function/Tool Calling

Agent Workflows

LLM-powered apps

RAG systems

Vector databases

Semantic search

Docker

Cloud platforms

CI/CD

MCP

Multi-Agent Systems

GraphRAG

Semantic Kernel

OpenAI Agents SDK

PydanticAI

AIEval Frameworks

Knowledge Graphs

React or Streamlit

Education

Bachelor's degree in Engineering

Job description

Job Description

Role Overview

We are looking for a hands-on AI Engineer to design, develop, and deploy AI-powered applications leveraging LLMs, Agentic AI frameworks, and modern AI engineering tools. The ideal candidate should have practical experience building AI agents, copilots, and RAG-based solutions that solve real business problems and create measurable value.

Key Responsibilities

1. Design and develop AI agents, copilots, and autonomous workflows.
2. Build solutions using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, and Google ADK.
3. Develop RAG solutions, semantic search capabilities, and enterprise knowledge assistants.
4. Integrate AI solutions with business applications, APIs, databases, and enterprise systems.
5. Leverage AI-assisted development tools such as Claude Code, Cursor, and GitHub Copilot.
6. Package, deploy, and monitor AI applications in cloud environments.
7. Contribute reusable frameworks, accelerators, and AI engineering best practices.

Required Technical Skills

Programming Engineering

1. Strong proficiency in Python.
2. Experience with REST APIs and integrations.
3. FastAPI, Flask, or similar frameworks.
4. Strong software engineering and system design fundamentals.

Agentic AI LLMs

1. Hands-on experience with one or more:
2. LangChain
3. LangGraph
4. CrewAI
5. AutoGen
6. Google ADK
7. Prompt Engineering
8. Function/Tool Calling
9. Agent Workflows and Memory Concepts
10. Building LLM-powered applications

RAG Knowledge Systems

1. Retrieval-Augmented Generation (RAG)
2. Vector Databases (Pinecone, Chroma, Weaviate, Milvus, etc. )
3. Semantic Search and Embeddings

Cloud Deployment

1. Docker
2. Azure, AWS, or GCP
3. CI/CD fundamentals

Preferred Skills

1. Model Context Protocol (MCP)
2. Multi-Agent Systems
3. GraphRAG
4. Semantic Kernel
5. OpenAI Agents SDK
6. PydanticAI
7. AI Evaluation Frameworks (Promptfoo, RAGAS)
8. Knowledge Graphs
9. React or Streamlit-based AI applications

Professional Attributes (Mandatory)

1. Strong collaborator capable of working effectively across engineering, product, business, and leadership teams.
2. Excellent communication skills with the ability to explain technical concepts to diverse audiences.
3. Confident, proactive, and self-driven individual who takes ownership and delivers results.
4. Strong networking and relationship-building abilities, with the capability to engage stakeholders across teams and geographies.
5. Comfortable conducting demos, presentations, workshops, and technical discussions.
6. Passionate about continuous learning and staying current with emerging AI technologies.

Experience Requirements

1. 3-8 years of overall software engineering experience.
2. Minimum 2 years of hands-on experience in Generative AI, Agentic AI, or LLM-based application development.
3. Experience building and delivering AI-powered applications, agents, copilots, or automation solutions in enterprise or production environments.

Total Experience Expected: 02-04 years Qualifications

Bachelor of Technology

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.