Elliptic
Technology
AIProductEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“AI Product Engineer at Elliptic. Skills: AI Product Engineering, LLM features, Agentic workflows. Build AI-powered features. Maintain AI-powered features”
What You'll Achieve.
Investigate crypto transactions faster; Investigate crypto transactions with confidence; Trace fund flows; Spot patterns; Respond to risk in real time; Turn blockchain data into answers; Improve quality of AI systems; Improve reliability of AI systems; Improve usefulness of AI systems; Make crypto markets safer; Make crypto markets more transparent; Make crypto markets more efficient
Industry & Context.
System design trade-offs
What They're Looking For.
Must Have
3 to 6 years software engineering experience, Hands-on LLM features in production, Direct experience with LLM frameworks, Practical understanding of prompt engineering, Experience evaluating LLM outputs, Backend skills in TypeScript / Node.js, Solid API design, Cloud experience (AWS), Database proficiency across SQL, Some NoSQL exposure, Clear thinking about system design
Nice to Have
Experience with agentic patterns, Experience with multiple model providers, Hands-on Terraform experience, Hands-on Kubernetes experience, Infrastructure-as-code experience, Experience with observability platforms, Distributed architectures experience, Event-driven architectures experience, Interest in cryptocurrency, Interest in blockchain, Interest in compliance
What You'll Do.
Build AI-powered features
Maintain AI-powered features
Build agentic workflows
Design tool integrations
Design retrieval pipelines
Design backend services
Build backend services
Design event-driven systems
Build event-driven systems
Collaborate with product
Collaborate with domain experts
Collaborate with web engineers
Collaborate with engineering lead
Take features to production
Take part in technical design reviews
Take part in planning
Take part in code reviews
Care about service observability
Care about service cost
Care about service reliability
How You'll Work.
Team & Collaboration
Product managers; Web engineers; Engineering lead; Domain experts; Cross-discipline collaboration
Full Job Description
Elliptic is building AI-powered tools that help compliance teams investigate crypto transactions faster and with greater confidence. Our Automation Forge team sits at the centre of that work, designing the AI systems and backend services behind Elliptic's copilot, the product that helps investigators trace fund flows, spot patterns, and respond to risk in real time. We're looking for an AI Engineer to help us design, build, and improve the LLM-powered features that make this possible. The impact you will have As an AI Engineer on the Automation Forge team, you'll build the agentic workflows, evaluation guardrails, retrieval pipelines, and supporting services that power Elliptic's copilot and other AI-driven features. You'll work with product managers, web engineers, and your engineering lead to turn complex blockchain data into intelligent, user-friendly experiences. Your work will help compliance teams trace fund flows, uncover patterns, and respond to risk faster and more confidently. Working collaboratively across disciplines, you’ll contribute to impactful features and continuously improve quality, reliability, and usefulness of our AI systems. Through this work, you’ll play an essential role in advancing Elliptic’s mission to make crypto markets safer, more transparent, and more efficient. What you will do: - Build and maintain AI-powered features and agentic workflows that power Elliptic's copilot, using LLM frameworks such as LangChain and LangGraph. - Design prompts, tool integrations, and retrieval pipelines that turn complex blockchain data into useful answers for investigators. - Develop and run evaluations to measure and improve the quality, reliability, and latency of LLM outputs. - Design and build the backend services, APIs, and event-driven systems that support these features, using TypeScript and Node.js. - Collaborate with product, domain experts, web engineers, and your engineering lead to take features from prototype through to production. - Take
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