AI - Senior Software Engineer

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.

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: 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.

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.