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

Synera; France; Hybride; EUR 77 000 - 97 000; Plein temps

Avantages offerts par ce poste

Home office setup

Office in Bremen

Personal development budget

Flexible working

JobRad

Wellbeing program

Team off-sites

Résumé du poste

Synera is seeking an experienced AI engineer to join the Agentic Ants team. You will design and ship agent graphs in production, build evaluation frameworks, and ensure changes are trusted through Golden datasets, LLM-as-judge pipelines, and regression suites.

Collaborate with Danny and the R&D department, work on customer insights data, and help automate engineering work while shaping the next AI-native generation of Synera.

Qualifications

• You’ve designed and shipped agent graphs in production with LangGraph or equivalent, including supervisor / sub‑agent patterns, tool design, prompt iteration.
• You’ve built or meaningfully contributed to an LLM evaluation pipeline: LLM-as-judge design, calibration against human labels, dataset versioning, and the statistical reasoning behind it (CIs, sample sizes, false positives).
• You write production‑grade Python (using FastAPI and PostgreSQL).
• You’ve worked with at least two of the following AI platforms: Anthropic, OpenAI, Azure Froundry, Bedrock, or Vertex AI.
• You’re familiar with Langfuse, LangSmith, or similar tracing tools.
• You handle reliability when it shows up in your work, implementing retries, error handling, or graceful degradation.
• You communicate clearly and push back when you disagree.

Responsabilités

• Design and ship agent graphs in production with LangGraph and related tooling.
• Build and improve an LLM evaluation framework gating changes before release.
• Collaborate with R&D to analyze customer insights data and automate engineering workflows.
• Contribute to sprint activities and help ensure production-readiness of agent systems.

Connaissances

Agent graphs

LLM evaluation

Python (FastAPI)

Langfuse tracing

Reliability engineering

Communication

Outils

PostgreSQL

FastAPI

LangGraph

Langfuse

Description du poste

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 WILLDO

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-agents, or routing improvements) that are measurably better in production.

In 12 months:

• The agents improve themselves: Production traces feed continuously back into datasets, and the improvement loop is running without manual intervention.

• You co‑own at least one agent surface with the team and have become the go‑to person for evaluation methodology at Synera. The combination has measurably improved product quality.

Here is our team at the summer event - join us at the next one!

WHAT'S IN IT FOR YOU?

We believe in transparent conversations about compensation from the start. For this role, our planned salary ranges are:

• Experienced Level: 77,000 - 97,000 EUR annually

We determine the level we hire you for based on your experience, the scope of responsibilities you’ll take on, and the impact you can drive. While we typically hire within these bands, we're open to some flexibility for candidates who bring exceptional value to the role.

Check out this page to learn how we approach salary, career growth, and creating an environment where everyone can shine.

What we offer beyond salary:

• Flexible working: you decide when & where to work (as long as you have a residency in Germany).

• Flexible public holidays: swap days off according to your values and beliefs!

• Home office setup support + access to our office in Bremen.

• Personal development budget of €2,000 to attend conferences and trainings or buy interesting books to improve in an area of your choice.

• We don't count your vacation days, as we trust all our team members to decide what's best for them and the company.

• Prefer two wheels over four? We’ve got you covered with JobRad.

• To support your personal and professional well-being, we offer company fitness with Wellpass and mental health platform nilo.

• Regular team events, virtual coffee breaks, and spontaneous afterworks. We also get together as a whole company for 2-3 day off-sites twice a year!

WHAT YOU NEED TO SUCCEED

• You resonate with Synera's Core Values - they're central to how we work, and we'll explore them together in your first interview.

• You’ve designed and shipped agent graphs in production with LangGraph or equivalent, including supervisor / sub‑agent patterns, tool design, prompt iteration.

• You’ve built or meaningfully contributed to an LLM evaluation pipeline: LLM-as-judge design, calibration against human labels, dataset versioning, and the statistical reasoning behind it (CIs, sample sizes, false positives).

• You write production‑grade Python (using FastAPI and PostgreSQL).

• You’ve worked with at least two of the following AI platforms: Anthropic, OpenAI, Azure Froundry, Bedrock, or Vertex AI.

• You’re familiar with Langfuse, LangSmith, or similar tracing tools.

• You handle reliability when it shows up in your work, implementing retries, error handling, or graceful degradation.

• You communicate clearly and push back when you disagree.