Senior GenAI Engineer – Python

About the Client

We are seeking experienced Senior GenAI Engineer – Python and cloud-native application development. In this role, you will design, build, and optimize scalable backend systems that power AI-driven and intelligent automation solutions in the cloud.

What you will do

• Build LLM-powered features end to end. Design and implement agentic flows, retrieval, and tool calling using LangGraph — then ship them as FastAPI services with streaming, persistence and proper tests.

• Own answer quality. Build evaluation datasets, regression suites and LLM-as-judge checks so we know whether a prompt or model change made things better before it reaches users.

• Get the right context to the model. Turn user questions into effective queries against our search platform, orchestrate multi-step research loops, and shape the context the model reasons over. When an answer is wrong, work out whether retrieval, the query or the prompt is at fault — and fix the right one.

• Debug production. Instrument flows with tracing (Langfuse), investigate bad answers from real traces, and manage latency, token and cost budgets — including routing across model sizes and families behind an AI gateway.

What we are looking for:

• Strong proficiency in Python for backend development (FastAPI, Flask, Django, or similar frameworks).

• Deep understanding of software architecture, design patterns, and API development.

• Solid experience with Azure cloud services, including containerization (Docker, Kubernetes), storage, and serverless technologies.

• Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform, Bicep, ARM), and monitoring tools (App Insights, Prometheus, Grafana).

• General interest and experience with AI-driven applications, and automation

• Hands-on experience or strong understanding of AI-driven systems and intelligent automation workflows.

• Know how to work with LLM use API and know how their are tested, know what RAG is, LangGraph and other tools like that experience.

• Ability to apply prompt engineering and integrate machine learning or LLM APIs effectively.

• Proven track record in system build, scalability and performance optimization.

• Experience in code reviews, mentoring and setting engineering standards.

• Strong problem-solving skills, analytical thinking, and technical decision-making.

• Fluent in English, proactive communicator, and a collaborative team player.

• Open-minded, creative, and motivated to push boundaries in AI and automation.

Perks and benefits

• Comprehensive benefits: Udemy for Business, private medical care, Multisport card, veterinary package, language lessons and shopping vouchers.

• Flexibility: adaptable working hours and remote or hybrid work options to suit your lifestyle and location.

• Career growth: professional development opportunities and access to benefits resulting from partnerships with Microsoft, AWS, Snowflake, Salesforce and other global technology companies.

• Global collaboration: cooperation with a diverse, international team.

• Innovative environment: an opportunity to help shape modern AI and intelligent automation solutions.

• Engaging community: team-building events, hackathons and CSR initiatives.

• An annual company event in Mazury.

• A welcome pack to start your journey with us.

Tech stack

• Python
• AI
• Azure
• LLM
• RAG
• Langgraph