AI Engineer
Indexed description
Weβre an ambitious VC-backed startup, having recently gone through Series A with leading global investors including redalpine, IQ Capital, Seedcamp, and Deutsche Bank. We have ambitious growth plans, and we are so keen for you to join us on the journey.
π The Role
We are hiring an AI Engineer to help form the strategic direction of our agentic offering - turning vision into shipped, scalable systems.
This is a hands-on, builder-first role on our small applied-AI team. You'll work with our Product team to identify opportunities, scope them, and ship production-grade agentic capabilities integrated across our wider platform.
π οΈ Stack & How We Work
- Python, LangChain, Anthropic SDK, Pydantic, Docker
- Spec-driven: product and tech specs live in Notion before code does
- Benchmark-driven: every change scored against a golden-set rubric. Agents that demo well but regress under load don't ship
- LangSmith for trace-driven debugging and agent observability
- Drive product direction for our agentic offering, in close collaboration with our Product team
- Identify opportunities, scope them, and ship
- We're looking for engineers who think like product builders, comfortable shaping the "what" as well as the "how"
- Own the design, architecture, and implementation of agentic offerings, including:
- End-to-end solution delivery
- Integrations with wider ecosystems (partners/customers/platforms)
- Drive prototypes through to production code, deployed alongside other Synthesized product offerings
- Support partner/customer technical integration discussions where needed
- Raise the bar for agentic systems engineering through the code you ship and the patterns you share with the team
- Proven experience in design, architecture, and implementation of agentic offerings, including complete solutions and ecosystem integrations
- Built and shipped agents in production - tool/prompt design, framework tradeoffs, eval loops that catch regressions
- Nice to have: experience in test data management, test automation, or QA tooling
- Broader awareness of Software Quality Engineering is a supporting advantage
- Comfortable operating in ambiguity
- Demonstrated ownership and high velocity
- π° Competitive salary & meaningful equity β so you share in our success
- π΄ 25 days annual leave + celebration days + your birthday off
- π Work From Anywhere β up to 1 month per year, fully flexible
- π’ Hybrid working β a mix of home and our London offices
- π Learning & development budget β for coaching, courses, and conferences
- βοΈ Private medical, dental & vision cover
- βοΈ Regular team socials & offsites β connect, celebrate, and recharge
- π€ A collaborative team β smart, ambitious, and supportive
- π€ Generous family leave β because life outside of work matters too
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