Mid-Level Python Developer (GenAI)

About Sopra Steria Bulgaria

Sopra Steria Bulgaria is part of the Sopra Steria Group, one of Europe's top technology consulting companies. We partner with customers across Germany and the DACH region, delivering software engineering, digital transformation, and business consulting services through international teams and long-term customer partnerships.

Joining us means being part of an international team where collaboration, knowledge sharing, and continuous learning are part of everyday work.

The world is how we shape it.

Let's shape it together.

About the Role

We are looking for a GenAI Engineer to build and deliver practical AI and agentic features for client applications. You will implement multi-step agent workflows, connect LLMs with external APIs and databases, and take features from prototype to production. Working alongside international engineering squads, you'll help build production-grade AI applications that go beyond simple API wrappers.

Responsibilities

Agent Workflows: Implement stateful agentic workflows, prompt templates, and tool-calling flows using frameworks like LangGraph.; System & Tool Integration: Connect LLMs and AI agents to internal and external APIs, databases, and third-party tools.; RAG Implementation: Build and optimize retrieval-augmented generation (RAG) pipelines using vector databases and structured outputs.; AI Safeguards: Implement standard safeguards for user-facing AI features, including rate limiting, content moderation, and basic guardrails.; Smart Engineering: Use AI-assisted development tools (e.g., Cursor, GitHub Copilot) to accelerate coding, write unit tests, and troubleshoot complex issues.; Evals & Quality: Apply prompt evaluation, tracing, and monitoring practices to ensure reliable output from AI components.; Collaborative Execution: Partner with backend engineers and QA to integrate GenAI components seamlessly into core product architectures.

Requirements

Agentic Frameworks: Hands-on experience building agentic or LLM-driven workflows using frameworks like LangGraph, LangChain, or LlamaIndex.; LLM API Integration: Practical experience integrating LLM APIs and provider platforms (e.g., OpenAI, Anthropic, Google Vertex AI).; RAG & Vector Search: Working experience with vector databases (Pinecone, Weaviate, pgvector) and search/retrieval patterns.; Python & API: Strong async Python skills and experience building REST APIs with FastAPI to serve web or AI services.; AI Observability: Familiarity with AI guardrails, evaluation techniques, and observability tools (e.g., Langfuse, MLflow).; Communication: Professional English fluency, ability to collaborate effectively in an agile, remote-first environment.

Nice to have

Practical experience with AI coding tools (e.g., GitHub Copilot, Cursor), or openness to integrating them into your development habits.; Familiarity with tool-calling standards or protocols (e.g., MCP, A2A).; Hands-on experience with Docker, Kubernetes, and CI/CD pipelines (GitHub Actions, GitLab CI).; Familiarity with modern Python tooling (e.g., uv, Poetry, Ruff).; German language skills (B2+).

Benefits

Global project experience with meaningful impact; Continuous professional and personal development opportunities; Approachable leadership and open communication; Empowered teams driving #OneTeam success; Competitive remuneration package; Food vouchers; 26 days of annual paid leave; Comprehensive health, life, and travel insurance; Extensive professional training programmes; Multisport cards; Modern office facilities are conveniently located at Metro Station G.M. Dimitrov Blvd.