# Full-Stack AI Developer – Agentic Systems (m/f/d) at Autonomous Teaming

> Germany · Unspecified · Full-stack · open. Source: https://alderhq.app/jobs/personio%3Aautonomous-teaming%3A2819592 (read 2026-11-09).

## Facts (observed)

- Company: [Autonomous Teaming](https://alderhq.app/companies/autonomous-teaming)
- Location text: Berlin
- Where it can be done from (inferred): Germany (evidence: "Location: Berlin")
- Posted: 2026-09-29 (40 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://autonomous-teaming.jobs.personio.de/job/2819592
- Skills listed (inferred): TypeScript, Python, Rust, LLMs

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Germany, n 5): p25 €58k, median €75k, p75 €75k

## Description (the employer's text)

### What we offer

- Work in an international, agile and ambitious team creating the future of autonomous systems.
- Grow your career in a expanding and ambitious engineering team.
- Build innovative products using state-of-the-art technologies in AI.
- Benefit from a steep learning curve and continuous development.
- Enjoy team events and a strong, collaborative culture.
### Your mission

You will split your time between keeping a live platform reliable and secure and turning business processes into production-ready AI workflows. This is a hands-on role for an engineer who enjoys building across the stack, solving production issues, and taking ownership of security and reliability.

What you’ll do :

Platform development and operations

- Build new capabilities for a situational awareness interface.
- Improve platform reliability, access control, and deployment practices.
- Investigate production issues, fix their root causes, and improve monitoring and traceability.
- Maintain the security baseline through patching, secrets management, and least-privilege access.
Secure AI workflows

- Turn business processes into functional prototypes and production-ready agent workflows.
- Design workflows that keep data from different business domains appropriately separated.
- Build in human approval before an agent takes an action that changes data or triggers a process.
- Make agent actions and transactions traceable and auditable.
- Integrate different AI providers and models, including on-premise options, and select the right model for each task.
- Experiment with models and agent coordination within clear security requirements.
### Your profile

Must-have :

- At least three years of relevant software engineering experience.
- Strong hands-on coding skills in Rust, TypeScript, and Python, with experience building APIs, data pipelines, and integrations.
- Experience shipping and operating production software, including deployment, trouble shooting, and reliability improvements.
- The ability to understand a business process quickly and turn it into a functional prototype.
- A practical security mindset, including threat modelling, isolation boundaries, and audit trails.
- Working knowledge of identity and access management and data protection basics, including GDPR.
- Fluent English, eligibility for security clearance, and nationality of a NATO member country or close ally.
### Nice to have

- Experience with RAG pipelines or multi-agent orchestration.
- Experience with EU-region inference or sovereign cloud environments.
- On-premise model hosting and routing tasks between AI models.
- Familiarity with Zero Trust architecture.
- Frontend experience building monitoring dashboards.
### Why us?

- Own the technical direction of a cutting-edge robotics product.
- Work on challenging engineering problems with real-world impact.
- Stay hands-on while shaping architecture and technical strategy.
- Test and iterate on real robotic systems, not just simulations.
- Join a team that values ownership, fast execution and building systems that work.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/personio%3Aautonomous-teaming%3A2819592 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.