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Senior AI Engineer (f/m/d) - Remote in Germany

Synera•Germany•🌍 Remote
Full-time3-7
€77K - €97K
per year
👁️ 0 views•📝 0 applications•Posted 9/30/2026•Expires 11/29/2026
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Job Description

Most AI teams talk about evaluation. At Synera , you will own it: end-to-end, in production, for multiple real agentic products used by companies like BMW, Airbus, and NASA. WHAT YOU WILL DO You’ll join the Agentic Ants team as their second native AI engineer.

You’ll build and extend agentic systems alongside the rest of the team, including new tools, sub-agents and prompt iterations. But most importantly, you will contribute to an evaluation framework that gates every change: Golden datasets, LLM-as-judge pipelines, regression suites, production-trace mining.

Your job is to prove that the agents the team is shipping can be trusted. You’ll not only improve our existing software but also shape the next AI-native generation of Synera .

Partnering with Danny and the wider R&D department, you’ll help the teams go deeper on customer insights data and come up with new ways to automate engineering work.

👉 What a week at Synera could look like: Monday: Join our company-wide all-hands meeting to stay in the loop, then review Langfuse traces from the weekend and flag any new failure modes worth triaging.

Tuesday: Work on the golden dataset for the supervisor routing surface, curating examples, versioning the set, and writing evaluators with Ahmed.

Wednesday: Join a cross-team sync with QA and product to align on new eval coverage for an upcoming agent feature, then push a CI integration so eval regressions block the next PR.

Thursday: Show off your latest work to other departments in the sprint review, use your lunch break to go for a quick run, then kick off sprint planning with the Agentic Ants. Friday: Pair with the AI and software engineers on extending our agentic system, then write the eval that gates the change before it ships.

⚡ In 6 months: The evaluation framework is live and in use across multiple agent, CI gates are blocking on regressions, and the team can actually trust the results. You’ve shipped multiple meaningful changes to the agent graphs (new tools, sub-

Required Skills

evaluation frameworkgolden datasetsLLM-as-judge pipelinesregression suitesproduction-trace miningCI integrationcustomer insights dataagentic systemssoftware engineering

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