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 building and delivering AI-powered applications, agents, copilots, or automation solutions in enterprise or production environments
Nice to have9
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
Skills
Python
REST APIs
FastAPI
Flask
LangChain
LangGraph
CrewAI
AutoGen
Google ADK
Prompt Engineering
RAG
Vector Databases
Pinecone
Chroma
Weaviate
Milvus
Semantic Search
Docker
Azure
AWS
GCP
CI/CD
Model Context Protocol
Semantic Kernel
OpenAI Agents SDK
PydanticAI
Promptfoo
RAGAS
Knowledge Graphs
React
Streamlit
Claude Code
Cursor
GitHub Copilot
Company Description
About Sopra Steria
Sopra Steria, a major Tech player in Europe with 51,000 employees in nearly 30 countries, is recognised for its consulting, digital services and solutions. It helps its clients drive their digital transformation and obtain tangible and sustainable benefits. The Group provides end-to-end solutions to make large companies and organisations more competitive by combining in-depth knowledge of a wide range of business sectors and innovative technologies with a collaborative approach. Sopra Steria places people at the heart of everything it does and is committed to putting digital to work for its clients in order to build a positive future for all. In 2025, the Group generated revenues of €5.6 billion.
The world is how we shape it.
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.
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: 03-04 years
Qualifications
Bachelor of Technology
Additional Information
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.
Legal
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.