Senior AI Product Engineer

About This Opportunity

We are representing a confidential blockchain intelligence organization that is building AI systems used by compliance teams to investigate financial crime. They need a Senior AI Product Engineer to join their AI team in London.

This is a hands-on role designing and building agentic workflows and LLM-powered features that help investigators trace fund flows, surface patterns, and respond to risk in real time. You'll own significant parts of the AI stack, lead technical decisions on LLM integrations, and mentor engineers as the team grows.

The position offers hybrid working in London with strong ownership, technical breadth across AI and backend systems, and the opportunity to ship products that directly impact financial crime prevention.

Responsibilities

• Design and build agentic workflows and AI-powered features using LLM frameworks such as LangChain or LangGraph
• Lead the design of agents, tool integrations, and retrieval pipelines that transform complex data into actionable insights for investigators
• Build and own evaluation frameworks that measure and improve quality, reliability, and latency of LLM outputs
• Design and build backend services, APIs, and event-driven systems using TypeScript and Node.js
• Drive technical design reviews and architecture decisions for AI workstreams
• Mentor and coach junior engineers through pair programming, code review, and design feedback
• Promote engineering best practices in testing, observability, and AI system reliability
• Influence cross-team decisions on AI capabilities integration across the platform

What We're Looking For

Required Experience and Skills:

• 5-8+ years of software engineering experience, with at least 1-2 years building production LLM-powered features
• Direct experience with LLM frameworks such as LangChain, LangGraph, or similar tools
• Hands-on experience building agentic systems: tool use, multi-step reasoning, planning, memory, and human-in-the-loop patterns
• Practical understanding of prompt engineering, structured outputs, context management, and LLM trade-offs
• Experience building and running evaluations for LLM outputs (eval sets, LLM-as-judge, regression testing)
• Strong backend skills in TypeScript/Node.js with solid API design capabilities
• Cloud experience (AWS: Lambda, ECS, S3, or similar platforms)
• Database proficiency across SQL (Postgres) and some NoSQL exposure
• Demonstrated ability to mentor and coach other engineers
• Experience using AI coding assistants (Copilot, Cursor, Claude, etc.) effectively in day-to-day workflow

Ideal Qualities:

• Focus on building AI systems that work reliably in production, not just prototypes
• Strong instincts for LLM-specific trade-offs: cost vs latency vs quality, deterministic vs probabilistic behavior
• Ability to break ambiguous AI problems into shippable pieces with clear evaluation criteria
• Clear communication with non-technical stakeholders about AI capabilities and limitations
• Genuine interest in blockchain investigations and financial crime prevention

Bonus Points:

• Experience with retrieval-augmented generation (RAG) and vector databases (pgvector, Pinecone, or similar)
• Experience designing multi-agent systems and agent orchestration patterns
• Familiarity with LLM observability tools (LangSmith, Langfuse, Arize, or similar)
• Experience working with multiple model providers (Anthropic, OpenAI, open-weight models) or fine-tuning
• Hands-on experience with Terraform, Kubernetes, or infrastructure-as-code tooling
• Experience with observability platforms like Datadog
• Distributed or event-driven architectures (SNS, SQS)
• Interest in cryptocurrency, blockchain, or compliance domains

How We Work With You

Candidates apply through Get A Job.ai, where our talent team reviews your profile and conducts an initial screening. We then submit qualified candidates to our client for consideration. Please do not attempt to contact the employer directly—all communication flows through our recruiting team to ensure a professional and coordinated process.

Pay

Compensation details will be discussed during the screening process with our recruiting team.

Additional Benefits at the Client:

• Hybrid working and option to work from almost anywhere for up to 90 days per year
• £500 remote working budget for home office setup
• $1,000 learning and development budget annually
• 25 days annual leave plus bank holidays, plus birthday off
• Enhanced parental leave: 16 weeks fully-paid leave for all eligible employees
• Private health insurance
• Mental health support access
• Life assurance (4x salary)
• Cycle to work scheme

Get A Job.ai is an equal opportunity recruiter. We welcome applications from all qualified candidates regardless of race, color, religion, sex, national origin, age, disability, genetics, veteran status, sexual orientation, gender identity, or any other protected characteristic. We are committed to creating an inclusive recruitment experience for everyone.