Vacancy details
This is a private vacancy. Company details stay confidential until InVault confirms a serious candidate fit.
- Status
- Active
- Date posted
- 2026-11-15
- Open until
- 2027-02-13
- Employment type
- Full-time
- Source-listed languages
- Not specified
- Language requirement
- No mandatory language inferred
- Work arrangement
- Hybrid
- Physical workplaces
- London, United Kingdom
- Applicant eligibility
- Applicant geography not specified
Overview
Own production AI and backend capabilities that assist digital-asset compliance investigators with tracing blockchain activity and evaluating financial-crime risk. Design agentic LLM workflows, retrieval tools, APIs and evaluation systems while coaching engineers and delivering complex features with product stakeholders.
Requirements
- Five to eight or more years of software engineering experience, including at least one to two years of meaningful production work on LLM-powered features.
- Hands-on experience with LLM frameworks such as LangChain, LangGraph or equivalent tools and agents with tool use, multistep workflows and human-in-the-loop behavior.
- Experience with prompt design, structured outputs, context management and evaluation of LLM output quality, reliability, latency and cost.
- Strong backend engineering with TypeScript, Node.js and reliable API design.
- Experience with cloud services such as AWS, database systems including SQL/Postgres and some NoSQL, and production operations.
- Ability to design and maintain evaluation datasets, LLM-as-judge or regression testing and system observability.
- Demonstrated ability to mentor engineers, lead technical decisions and explain AI limitations to nonengineering stakeholders.
- Critical and effective use of AI coding assistants in software development.
- RAG and vector search, multi-agent orchestration, LLM observability tools, model-provider integrations, Terraform, Kubernetes and crypto/compliance familiarity are advantages, not mandatory.
Responsibilities
- Design and deliver agentic AI features and workflows for blockchain investigators.
- Integrate tools, LLM models and retrieval pipelines with compliant backend services.
- Own automated LLM evaluation frameworks measuring quality, reliability and latency.
- Implement and operate TypeScript/Node.js APIs and event-driven services supporting investigation experiences.
- Lead technical design reviews and engineering decisions for AI workstreams.
- Maintain testing, monitoring and rollout safety of AI-powered functionality.
- Mentor colleagues and align design decisions with product, web engineering, data and platform stakeholders.
Conditions
- Full-time hybrid position in London, United Kingdom.