Senior AI/Agentic Engineer

Posted Yesterday
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London, Greater London, England, GBR
Hybrid
Senior level
Artificial Intelligence • Big Data • Software • Data Privacy
The Role
Lead design, architecture, and implementation of production agentic systems. Collaborate with Product to scope opportunities, build prototypes to production, integrate with partners/customers, and ensure robust evaluation and observability for deployed agents.
Summary Generated by Built In
👋 About Us

It's hard to build a reliable system. It's harder to make sure that what you've built is really reliable.

Synthesized is redefining software testing. Our platform automates test data, test cases, and test environments - empowering enterprise teams to ship faster, reduce compliance risks, and modernise QA at scale.

We’re 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.

🔍 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.

🛠️ 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

📋 What You’ll Be Doing
  • 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

🌱 About You
  • 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

✨ What We Offer
  • 💰 Competitive salary & meaningful equity – so you share in our success

  • 🌴 25 days annual leave + celebration days + your birthday off

  • 🌍 Work From Anywhere – up to 1 month per year, fully flexible

  • 🏢 Hybrid working – a mix of home and our London offices

  • 📚 Learning & development budget – for coaching, courses, and conferences

  • ⚕️ Private medical, dental & vision cover

  • ✈️ Regular team socials & offsites – connect, celebrate, and recharge

  • 🤝 A collaborative team – smart, ambitious, and supportive

  • 🐤 Generous family leave – because life outside of work matters too

🌍 Equal Opportunities

We are committed to an inclusive and diverse workplace at Synthesized. Synthesized is an equal opportunity employer. We do not discriminate based on race, ethnicity, colour, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected status.

Skills Required

  • Proven experience in design, architecture, and implementation of agentic offerings, including complete solutions and ecosystem integrations
  • Built and shipped agents in production, including tool and prompt design, framework tradeoffs, and eval loops that catch regressions
  • Experience with Python
  • Experience with LangChain
  • Experience with Anthropic SDK
  • Experience with Pydantic
  • Experience with Docker
  • Experience with LangSmith (agent observability/trace debugging)
  • Comfortable operating in ambiguity
  • Demonstrated ownership and high velocity
  • Experience in test data management, test automation, or QA tooling
  • Broader awareness of Software Quality Engineering
Am I A Good Fit?
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The Company

What We Do

Synthesized provides an AI-powered test data infrastructure platform designed to automate and accelerate software testing for enterprises. Its AI-native platform automates the generation, masking, and provisioning of high-quality, privacy-compliant synthetic datasets that mimic real-world production data. This enables development and QA teams to ship faster, reduce compliance risks, and modernize testing at scale, with specific support for complex systems like SAP.

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