Staff AI Backend Engineer, paretos
Enterprise planning & execution agents
Be an early applicant
Enterprise planning & execution agents
21-100 employees
Be an early applicant
21-100 employees
Company mission
To provide every company with access to state-of-the-art AI technologies that were previously reserved for leading tech giants.
Role
Who you are
- 8+ years as a Backend, Software, or AI Engineer in a product-oriented environment, with a track record of leading the design and delivery of complex systems — ideally in a product or SaaS context; startup (0→1) experience very welcome
- Larger parts of a tech organization have been yours end-to-end: significant services, domains, or platform areas — from architecture and delivery to operation, reliability, and on-call, not just individual features
- Deep backend expertise across Python (FastAPI, Pydantic), clean and durable API design, async programming, PostgreSQL and Redis, Docker, and mature CI/CD — at a level where you define standards rather than follow them
- Proven in agile, fast-moving teams: operating inside sprints, iterative shipping, and continuous feedback, you keep quality high while moving fast
- Demonstrated technical leadership: you've owned the architecture of non-trivial systems, made high-stakes trade-offs, and guided multiple engineers through ambiguity — without formal authority
- A strong product mindset drives you: not just "How do I build this?" but "What for, for whom, and how will we know it has impact?" — thinking in users, adoption, and chains of impact
- Production-grade LLM and agent experience: prompt engineering, tool use/function calling, RAG, eval frameworks, guardrails, and deploying LLM-powered features real users depend on
- Solid command of cloud infrastructure (ideally AWS), including Kubernetes and Infrastructure-as-Code with Terraform — you design, reason about, and operate this stack confidently, deciding where complexity belongs
- A very high level of ownership, comfort with ambiguity, and the judgment to know when to go deep versus delegate, document, or simplify
- Clear, compelling communication, technical and non-technical, with low ego — building alignment, writing things down, and making others better
- Fluent English
- Paretos is an inclusive company with equal opportunities for all. We explicitly encourage you to apply even if you don't meet 100% of the requirements
What the job involves
- As Staff AI Backend Engineer, you work in a remote within Germany 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. We look forward to your application
- As a Staff AI Backend Engineer, you own the technical backbone of our Decision Intelligence platform and the architecture that lets it scale
- You set the direction for how we build scalable backend services that bring our forecasting and optimization models, agentic workflows, and our semantic data layer into productive use
- You work AI-first: Claude Code or similar CLIs, MCPs, and custom skills are your standard toolkit, and you define how the rest of the team uses them
- You think not only in terms of endpoints and databases, but in customer value, product impact, and adoption - and you are relentless about strengthening the system, not just solving the task at hand
- With a strong product mindset, you set technical direction: defining how we measure feature adoption, instrumenting usage patterns, and steering the roadmap with Product and FDE — accountable to outcomes, not output
- Scalable backend services in Python (FastAPI, Pydantic) for agent workflows, forecasting, and replenishment are yours to architect, build, and operate — including the decisions, trade-offs, and standards behind them
- Clean API and service contracts between platform, agents, ML models, frontend, and customer systems (ERP, BI, planning tools) are designed by you, with robustness, observability, and reliability as first-class properties
- Our semantic data layer — the foundation for accurate forecasts and precise agent responses — is yours: PostgreSQL modeling, dbt transformations, pipelines, caching, and retrieval, built to scale across customers and use cases
- How we integrate LLM and agent systems into the backend is defined by you: tool use, function calling, RAG pipelines, eval frameworks, guardrails, and production deployment — setting the patterns and quality bars the team builds against
- Driving our AI-first engineering culture is central: Claude Code, AI-assisted development, and subagents are part of your daily toolkit, and you evolve our internal setup (CLAUDE, hooks, skills, plan/execute/review loop, plugins, docs) so the team ships faster and safer
- Ambiguous business and customer requirements get translated into coherent technical strategy with FDEs and Product, making pragmatic trade-offs between speed, scalability, and maintainability — explained clearly to technical and non-technical stakeholders
- Prototyping fast and close to the user, you put ideas into FDEs' and customers' hands in days, gather feedback autonomously, iterate on the real workflow, and decide from actual usage what to harden and roll out
- Through code and design review, mentoring, documentation, and standards, you raise the engineering bar — growing the people around you and making the system more resilient over time
Our take
In business these days, it is vital that companies make smart decisions swiftly, but it can be difficult to manage or interpret the data required to make these decisions. Paretos has developed an AI-led Decision Intelligence platform to assist companies in making better, smarter, and faster decisions, to enable them to optimise their responses to changes in the market.
Backed by AI data analysis and trade-off scenarios, Paretos’ platform combines technology with human decision-making skills to supply reliable business predictions and optimisations. Importantly, it requires no prior experience with data science, making it a good option for companies without this internal expertise, and allowing any business to make the most of its data.
Paretos serves an impressive list of clients from big names like Accenture to emerging brands, and has raised impressive funds towards its development and growth. With Decision Intelligence fast proving to be a vital part of digital transformation for companies, the company is positioned well to capitalise on the digitisation trend.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Oct 2024
$9.9m
SERIES A
Sep 2022
$7.6m
SEED
Total funding: $21.5m
Company HQ
Heidelberg, Heidelberg, Germany
Leadership
Thorsten Heilig
(Co-Founder & CEO)Former COO of the moovel Group.
Fabian Rang
(Co-Founder)Sigma Squared Society Fellow.
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