AI Backend Engineer

paretos

AI Backend Engineer responsible for building scalable backend services for a Decision Intelligence platform. Collaborating in a hybrid setup with product teams to support forecasting and optimization models.

Posted 5/24/2026full-timeHeidelberg • 🇩🇪 GermanyJuniorMid-LevelWebsite

Tech Stack

Tools & technologies

AWSCloudDockerERPKubernetesPostgresPythonRedisTerraform

About the role

Key responsibilities & impact

As an AI Backend Engineer, you will build the technical backbone of our Decision Intelligence platform.
You will develop scalable backend services that operationalize our forecasting and optimization models, agentic workflows, and semantic data layer.
You work AI-first: Claude Code or similar CLIs, MCPs, and custom skills are part of your standard toolkit.
You design, build, and operate scalable backend services in Python using FastAPI and pydantic to reliably support agent workflows, forecasting, and replenishment.
You design clean APIs between the platform, agents, ML models, frontend, and customer systems (ERP, BI, planning tools), ensuring robustness and observability.
You build and extend our semantic data layer as the foundation for accurate forecasts and precise agent responses: data modeling in PostgreSQL, transformations with dbt, pipelines, caching, and retrieval.
You integrate LLMs and agent systems deeply into the backend: tool use, function calling, RAG pipelines, evaluation frameworks for LLM outputs, guardrails, and production deployment.
You translate business and customer requirements into viable technical solutions together with FDEs and Product, making pragmatic trade-offs between speed, scalability, and maintainability.
You prototype quickly and close to users: you put new ideas into the hands of FDEs and customers in days rather than weeks, gather early feedback autonomously, iterate closely on real workflows, and decide based on actual usage what to harden and roll out.

Requirements

What you’ll need

2–5 years of professional experience as a Backend, Software, or AI Engineer in a product-oriented environment—ideally in a product or SaaS context; startup experience is welcome.
Solid backend foundation: Python with FastAPI and Pydantic, clean API design, asynchronous programming, PostgreSQL and Redis, containerization with Docker, and experience with CI/CD pipelines.
Strong product mindset: you don’t just ask “How do I build this?” but “What are we building this for, who is it for, and how will we measure its impact?”. You think in terms of users, adoption, and chains of impact, not just tickets.
Practical experience with LLMs and agent systems: prompt engineering, tool use/function calling, RAG, evaluation frameworks, and production deployment.
Experience with cloud infrastructure, ideally AWS, and a good grasp of Kubernetes and Infrastructure-as-Code with Terraform—you don’t need to master everything, but you should be comfortable operating in this space.
High level of ownership, appetite for ambiguity, and motivation to continuously develop your skills in backend engineering, agentic engineering, and product thinking.
Clear, compelling communication with low ego, across both technical and non-technical audiences.
Fluent English; bonus: native German or C1-level German.

Benefits

Comp & perks

You receive the hardware setup you need to perform at your best.
Personal learning budget of €2,000 per year to support continuous development.
Flexible working hours: work when it suits you best.
Monthly benefits allowance of €60 to use as you prefer—Urban Sports Club, mobility budget (fuel, public transport, Deutschlandticket), or gift cards.
A wide selection of snacks and drinks available free of charge in the office.
Direct access to frontier AI developments and learning sessions in close collaboration with our product development team.
Join a highly qualified and motivated team of paretoneers who get things done and enjoy doing it.
Participate in our quarterly Hacky Days, full of creativity and new ideas.
Regular professional and social team events, both online and on site.
If you’re a member of the paretos Dog Club, you’re welcome to bring your dog to the office.
Show off your barista skills in the office and enjoy coffee conversations with colleagues—maybe you’ll be crowned “paretos Office Barista of the Year” at our Christmas party.

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Hard Skills & Tools

PythonFastAPIPydanticPostgreSQLRedisDockerCI/CDLLMsprompt engineeringInfrastructure-as-Code

Soft Skills

product mindsetownershipadaptabilitycommunicationuser-focused thinkingcollaborationfeedback iterationproblem-solvingmotivationambiguity management