2 дня назад
Senior AI Engineer (Blockchain)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (Blockchain/LLM): Building agentic workflows, LLM-powered features, and backend services for Elliptic's copilot, which helps compliance investigators trace blockchain fund flows and detect financial crime, with an accent on LangChain or LangGraph, evaluation frameworks, and reliable production AI. Focus on designing tool integrations and retrieval pipelines, optimizing quality, latency, and cost, and leading architecture decisions for TypeScript and Node.js systems.
Location: London, United Kingdom; hybrid working. The role also offers the option to work from almost anywhere for up to 90 days per year.
Company
builds blockchain analytics and AI products that help compliance investigators trace fund flows, identify patterns, and prevent financial crime.
What you will do
- Design and build agentic workflows and AI-powered features for 's copilot using LLM frameworks such as LangChain and LangGraph.
- Lead the design of agents, tool integrations, and retrieval pipelines that transform complex blockchain data into useful investigation insights.
- Build evaluation frameworks to improve the quality, reliability, and latency of LLM outputs.
- Design and own backend services, APIs, and event-driven systems using TypeScript and Node.js.
- Lead technical design reviews and architecture decisions for AI workstreams.
- Mentor junior engineers and improve team practices for testing, observability, prompt management, and AI system reliability.
Requirements
- 5–8+ years of software engineering experience, including 1–2 years of meaningful production work with LLM-powered features.
- Production experience with LLM frameworks such as LangChain, LangGraph, or similar, and with agentic systems involving tool use, planning, memory, and human-in-the-loop patterns.
- Strong backend development skills in TypeScript and Node.js, including API design.
- Experience building LLM evaluations, including evaluation sets, LLM-as-judge approaches, or regression testing.
- Cloud experience with AWS and database proficiency in SQL/Postgres, with some NoSQL exposure.
- Experience mentoring and coaching engineers, communicating clearly with non-engineering stakeholders, and working with AI systems in production.
Nice to have
- Experience with retrieval-augmented generation, vector databases, multi-agent systems, or agent orchestration.
- Familiarity with LLM observability tools such as LangSmith, Langfuse, or Arize.
- Experience with multiple model providers, fine-tuning, Terraform, Kubernetes, Datadog, or distributed event-driven architectures.
- Interest in cryptocurrency, blockchain, or compliance.
Culture & Benefits
- Hybrid working with the option to work from almost anywhere for up to 90 days per year.
- £500 remote working budget and a $1,000 learning and development budget.
- 25 days of annual leave plus bank holidays and an additional birthday day.
- Enhanced parental leave with 16 weeks of fully paid leave for eligible employees.
- Private health insurance through Bupa, mental health support, life assurance worth four times salary, and a Cycle to Work Scheme.
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