AI - Senior Software Engineer
Key Skills for This Role
Full Job Posting
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.
- 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.
About Sopra Steria
Provides digital transformation consulting and information technology services.
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