Sopra Steria

AI - Senior Software Engineer

Noida, UP, India · On-site · Full-time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerSopra Steria
LocationNoida, UP, India
Work styleOn-site
Employment typeFull-time
Employer posted3 days ago

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

Design and develop AI agents, copilots, and autonomous workflows.
Build solutions using frameworks such as 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.

Show full description

Required Technical Skills

Programming & Engineering

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

Agentic AI & LLMs

Hands-on experience with one or more:
LangChain
LangGraph
CrewAI
AutoGen
Google ADK
Prompt Engineering
Function/Tool Calling
Agent Workflows and Memory Concepts
Building LLM-powered applications

RAG & Knowledge Systems

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

Cloud & Deployment

Docker
Azure, AWS, or GCP
CI/CD fundamentals

Preferred Skills

Model Context Protocol (MCP)
Multi-Agent Systems
GraphRAG
Semantic Kernel
OpenAI Agents SDK
PydanticAI
AI Evaluation Frameworks (Promptfoo, RAGAS)
Knowledge Graphs
React or Streamlit-based AI applications

Professional Attributes (Mandatory)

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

Experience Requirements

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

Total Experience Expected: 03-04 years

Bachelor of Technology

Ideal Candidate Summary

A hands-on AI Engineer with strong software engineering fundamentals and at least 2 years of experience in Generative AI and Agentic AI. The ideal candidate has experience building AI agents, copilots, and RAG-based solutions using modern agent frameworks and LLM technologies. Beyond technical expertise, they are a confident communicator, strong collaborator, and relationship builder who can effectively influence stakeholders, drive cross-functional collaboration, and help accelerate AI innovation across the organization.

At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences.

All of our positions are open to people with disabilities.

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