Staff AI Backend Engineer

Role Description

As Staff AI Backend Engineer, you work in a remote or hybrid setup in close collaboration with Product, Forward Deployed/AI Engineers, and Data Scientists. You operate as the technical anchor for our backend and agent platform — setting direction, raising the bar, and multiplying the impact of the engineers around you.

• Own the technical backbone of our Decision Intelligence platform and the architecture that lets it scale.
• Set the direction for building scalable backend services that bring forecasting and optimization models, agentic workflows, and semantic data layer into productive use.
• Work AI-first: use Claude Code or similar CLIs, MCPs, and custom skills.
• Think in terms of customer value, product impact, and adoption.
• Define how we measure feature adoption, instrument usage patterns, and steer the roadmap with Product and FDE.
• Architect, build, and operate scalable backend services in Python (FastAPI, Pydantic) for agent workflows, forecasting, and replenishment.
• Design clean API and service contracts between platform, agents, ML models, frontend, and customer systems (ERP, BI, planning tools).
• Own the semantic data layer: PostgreSQL modeling, dbt transformations, pipelines, caching, and retrieval.
• Define how we integrate LLM and agent systems into the backend.
• Drive our AI-first engineering culture with tools like Claude Code and AI-assisted development.
• Translate ambiguous business and customer requirements into coherent technical strategy.
• Prototype fast and close to the user, gathering feedback and iterating on workflows.
• Raise the engineering bar through code and design review, mentoring, documentation, and standards.

Qualifications

• 8+ years as a Backend, Software, or AI Engineer in a product-oriented environment.
• Track record of leading the design and delivery of complex systems, ideally in a product or SaaS context.
• Experience in startup (0→1) environments is very welcome.
• End-to-end ownership of significant services, domains, or platform areas.
• Deep backend expertise across Python (FastAPI, Pydantic), clean API design, async programming, PostgreSQL, Redis, Docker, and mature CI/CD.
• Proven experience in agile, fast-moving teams.
• Demonstrated technical leadership in owning architecture of non-trivial systems.
• A strong product mindset focused on user impact and adoption.
• Production-grade LLM and agent experience.
• Solid command of cloud infrastructure (ideally AWS), including Kubernetes and Infrastructure-as-Code with Terraform.
• High level of ownership and comfort with ambiguity.
• Clear, compelling communication skills, both technical and non-technical.
• Fluent in English.

Requirements

• 8+ years as a Backend, Software, or AI Engineer in a product-oriented environment.
• Experience leading design and delivery of complex systems.
• Deep backend expertise across relevant technologies.
• Proven experience in agile, fast-moving teams.
• Demonstrated technical leadership.
• Strong product mindset.
• Production-grade LLM and agent experience.
• Solid command of cloud infrastructure.
• High level of ownership and comfort with ambiguity.
• Clear communication skills.

Benefits

• Hardware setup to unlock your full potential.
• Personal learning budget of 2000€ per year.
• Flexible working hours.
• Monthly benefit budget of 60€ for personal use.
• Free snacks and drinks in the office.
• Direct access to frontier AI developments and learning sessions.
• Join a highly qualified and motivated team.
• Participate in quarterly Hacky Days.
• Regular professional and social team events.
• Bring your dog to the office if you're a member of the paretos Dog Club.
• Opportunity to showcase barista skills in the office.

Company Description

We are an AI-powered end-to-end decision intelligence platform for making effective, data-driven decisions across entire enterprises.