Senior AI Platform Engineer

We're looking for a Senior AI Platform Engineer to design, build, and operate the backend systems behind our generative AI products. You'll work across APIs, data pipelines, and SDKs — building the infrastructure that makes LLM-powered applications run reliably at scale. The right person for this role has deep Python backend experience and has shipped real AI systems in production, not just experimented with them. You've built or operationalized RAG pipelines, agentic workflows, or LLM-based services, and you care as much about uptime, latency, and observability as you do about the AI layer itself.

WHAT YOU’RE GOING TO DO

• Own and evolve the Python backend services that power our AI products, from API design through deployment and monitoring
• Build and maintain data pipelines that process AI/ML workloads in production
• Design and deploy agentic workflows using LangGraph or custom orchestration, handling patterns like multi-agent coordination, tool use, and human-in-the-loop
• Develop and maintain SDKs and APIs that expose AI capabilities to downstream applications and third-party integrations
• Work with product and data teams to translate AI capabilities into reliable, well-contracted backend services

WHAT WE’RE LOOKING FOR

QUALITIES

• You've put LLM-based systems into production and dealt with the unglamorous parts — retries, token limits, latency budgets, flaky model outputs
• You're comfortable working in a space where best practices are still being written, and you form your own opinions about tooling and architecture
• You default to shipping and iterating over designing the perfect system upfront
• You take ownership of problems end-to-end rather than handing off at layer boundaries

QUALIFICATIONS

• 5\+ years building production backend systems in Python
• Strong knowledge of software engineering principles, clean code practices, and testing methodologies
• Practical experience with Python backend frameworks: FastAPI (preferred), Flask or Django
• Practical experience with SQL databases and related Python libraries
• Hands-on experience with cloud platforms: GCP (preferred), AWS or Azure
• Experience designing and implementing scalable backend services (APIs, data pipelines, SDKs, etc.)
• Practical experience with building and deploying AI-based applications, including LLMs and embedding models (e.g., OpenAI, Anthropic, Hugging Face)
• Experience with Python agentic frameworks (e.g., LangGraph, Strands, CrewAI)
• Familiarity with Retrieval-Augmented Generation (RAG) based systems, agentic workflows and Generative AI applications

Nice to have

• Familiarity with agentic patterns (ReAct agents, multi-agent orchestration, human-in-the-loop)
• Familiarity with Model Context Protocol (MCP) and A2A
• Experience with data science Python libraries such as pandas, NumPy, Scikit-learn
• Experience with developing applications through AI-assisted coding (e.g. Claude Code)
• Familiarity with AI observability and tracing tools (e.g., Langfuse)
• Familiarity with containerized development with Docker
• Familiarity with CI/CD workflows in GitLab
• Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana)
• Familiarity with gRPC for high-performance service communication
• Enterprise software development experience

WHAT WE OFFER

• A monthly amount dedicated to Well-being needs.
• A monthly subscription to Medical Services.
• 21 vacation days / year; extra vacation days after 2 years within the company.
• 3 personal days / year.
• Referral bonus.
• Access to learning platforms for continuous self development.