Senior AI Engineer (AI Automation)
Blockchain intelligence company providing tools to detect, investigate, and manage crypto-related fraud, financial crime, and compliance for institutions and government agencies.
Investors
Projects
About TRM Labs
TRM Labs provides blockchain intelligence for investigations and compliance, offering products such as forensics, wallet screening, entity screening, transaction monitoring, and APIs. It serves financial institutions, crypto businesses, and public sector agencies to trace funds, assess risk, and build cases across digital assets.
Skills
About the Role
You will design, build, and own full-stack AI-powered internal applications, including backend services, APIs, data storage, and user interfaces. You will develop custom agentic solutions using modern models (e.g., OpenAI, Anthropic, Gemini) to automate workflows and augment decision-making. You will embed with internal teams to understand goals and translate needs into technical solutions with clear success criteria. You will own projects end-to-end—from architecture and scoping through delivery, iteration, maintenance, and on-call support for internal tools. You will collaborate with non-technical stakeholders, evaluate impact, iterate based on measurable outcomes, and build reliable, scalable systems.
Requirements
- 6+ years full-stack software engineering experience building scalable web applications, services, and APIs
- Proficiency in JavaScript, TypeScript and/or Python
- Experience with frontend development (React or similar)
- Experience building backend systems and designing APIs
- Experience with datastores such as Postgres, pgvector, Pinecone, and Redis
- Hands-on experience with modern AI models, agentic IDEs, or AI-enabled workflows
- Experience building or experimenting with agentic systems, workflow orchestration (e.g., n8n), or browser automation
- Strong ownership and ability to operate in ambiguous problem spaces
- Excellent communication and cross-functional collaboration skills
Responsibilities
- Design and build full-stack AI-powered internal applications
- Develop custom agentic solutions leveraging modern AI models
- Embed with internal teams to translate goals into technical solutions
- Own projects end-to-end including design, architecture, delivery, iteration, and maintenance
- Collaborate with non-technical stakeholders to define success criteria
- Build reliable, scalable systems and infrastructure
- Continuously evaluate impact and iterate on solutions
- Participate in on-call rotation for internal tools