Mid-Level Python Developer - GenAI

Job Description

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.

What You Will Do

• 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.

Qualifications

What We Are Looking For

• 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+).

Additional Information

 Why Join Sopra Steria Bulgaria

• Global project experience with meaningful impact
• Continuous professional and personal development opportunities
• Approachable leadership and open communication
• Empowered teams driving #OneTeam success

Benefits

• Competitive remuneration package
• Food vouchers
• 26 days of annual paid leave
• Comprehensive health, life, and travel insurance
• Extensive professional training programmes and up to 10 dedicated training days per year
• Multisport cards
• Modern office facilities are conveniently located at Metro Station G.M. Dimitrov Blvd.

Selection Process

We carefully review every application and will contact you within the following week if we identify a potential match. As we dedicate time to assessing each application thoroughly, we appreciate your patience throughout the process.

Equal Opportunity

At Sopra Steria Bulgaria, we are committed to creating an inclusive workplace where everyone is treated with respect. We welcome applications from people of all backgrounds and experiences.

Transparent & Fair Assessment

As part of our interview process, you may be asked to complete a job-related case study or practical assessment. Candidates are evaluated using standardized, role-specific criteria (Functional Expertise, Analytical Capability, Accountability, Stakeholder Interaction and Collaboration) to ensure an objective, fair and transparent selection process aligned with the EU Pay Transparency Directive.

Candidate Data Privacy

Please read Sopra Steria's Candidate Data Protection Notice for more information about how we collect, process and protect your personal data throughout the recruitment and hiring process.

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.