Position: Senior AI Product Engineer
Client: UK (London) - remote
Our client - a venture-funded startup on a mission to transform compliance for regulated brands, turning what’s often seen as a frustrating, manual process into something powerful and creative.
### What You'll Do 🚀
Design agentic products for compliance: Build products that combine foundation models with domain-specific tools to automate regulatory checks, risk detection, and compliance workflows.
Optimise for production scale: Build systems that seamlessly support rapid client onboarding and expand our throughput by orders of magnitude, while maintaining reliability, accuracy, and performance.
Pioneer multi-modal compliance analysis: leverage LLMs to analyse multi-modal assets with the nuance of real-world compliance, tackling subjective and context-dependent cases by thinking beyond black-and-white rule application.
Build validation & evaluation infrastructure: Develop rigorous testing, monitoring, and guardrail systems to ensure AI outputs are accurate, consistent and explainable.
Steer the future of regulatory AI: Work closely with the CTO and product team to align AI innovations with new industry regulations and strategic goals.
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### Who You Are 🌟
An AI-native engineer: You actively use AI in your workflow, whether for prototyping, debugging, or exploring new architectures, and see it as a force multiplier.
Demonstrable ability to build and ship AI-enabled products: external facing applications, used by real-world users
A production ML expert: You’ve deployed AI systems at scale, bringing strong backend skills (Python is a must) and experience building APIs such as with FastAPI.
An LLM practitioner: You’ve built real-world systems with LLMs, using agent frameworks like LangGraph or LangChain, RAG pipelines, and robust evals.
A pragmatic builder: You thrive in ambiguity, balancing research with production constraints, and know when simple beats complex.
A team shaper: You’re eager to influence culture, mentor future hires, and help scale our engineering team from the ground up.
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### Nice to Have ✨
- Prior experience in RegTech, LegalTech, or working with regulatory data
- Contributions to the AI/ML community (open-source, publications, talks)
- Experience optimising AI models through fine-tuning, distillation, or human-in-the-loop validation
Fluent English is a must.