Job Description
The AI & Automation team at TRM is responsible for designing and building AI-powered applications and agentic solutions that help our internal teams operate at scale. We partner directly with business leaders across the company to identify high-impact opportunities, then design, build, and own end-to-end solutions that meaningfully move key business metrics.
We are looking for a Senior AI Engineer (AI Automation) who is excited to work hands-on with modern AI technologies, build custom internal tools, and operate with a high degree of ownership. This role is ideal for engineers who want to stay deeply technical while also shaping what gets built, not just how it’s built.
As a member of the AI & Automation team, you will embed closely with business teams (e.g., Intelligence, R&D, Operations, Talent, Finance, Legal, R&D), identify their most critical challenges, and design AI-enabled solutions that drive measurable outcomes. You’ll own these systems end-to-end—from ideation and architecture through delivery, iteration, and long-term maintenance.
The impact you’ll have here:
Design, build, and own full-stack, AI-powered internal applications, including backend services, APIs, data storage, and user-facing interfaces.
Develop custom agentic solutions that leverage state-of-the-art AI models (e.g., OpenAI, Anthropic, Gemini) to automate workflows, augment decision-making, and scale business processes.
Embed within internal teams to deeply understand their goals, constraints, and key metrics, then translate those needs into technical solutions with clear success criteria.
Own projects end-to-end, including technical design, architecture decisions, scoping, delivery, iteration, and ongoing support.
Collaborate with non-technical stakeholders to expand their understanding of what’s possible with AI and help shape more ambitious solutions.
Build reliable, scalable systems that are used across the organization and touch critical parts of TRM’s operations.
Continuously evaluate impact, iterating on solutions quarter-over-quarter based on measurable business outcomes.
Contribute to a fast-moving, high-ownership engineering culture that values quality, velocity, and real-world impact.
What we’re looking for:
6+ years full-stack software engineering experience building scalable web applications, services, and APIs
Proficiency in JavaScript/TypeScript and/or Python, and comfort working across the stack including frontend development (React or similar frameworks)
Experience building backend systems, working with various datastores such as (Postgres/pgvector, Pinecone, Redis) and designing APIs.
Demonstrated curiosity and hands-on experience with AI tools and applications - using modern AI models, agentic IDEs, or building AI-enabled workflows or prototypes.
Experience building or experimenting with custom developed agentic systems, workflow orchestration tools (n8n), or Agentic browser automation
A high degree of ownership and initiative, with the ability to operate independently in ambiguous problem spaces
Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences
Experience collaborating cross-functionally and building trust with stakeholders at all levels of the organization
Bonus:**
Direct experience integrating automated AI Evaluation/Testing/Observability suites to continuously test model effectiveness leveraging platforms such as DeepEval, Langfuse/LangSmith or similar
About the Team:
The team operates on a weekly sprint schedule. Individuals on the team are tasked to lead projects as technical anchors, and given a chance to grow and take ownership according to their level and goals. We work closely with our internal stakeholders to deliver impactful features to our internal customers and the company.
The team’s culture is built on psychological safety wherein team members build rapport and trust-based relationships with teammates, hold each other accountable and to a high bar, collaborate extensively, and have lots of fun along the way.
The team’s timezone is a mix of EST and PST with at least 6 hours of overlap with PST (8 am to 2 pm PST)
On-Call: We have an on-call rotation that is specific to internal tools. In this role, the internal tools engineer is responsible for triaging customer support requests from specific Slack channels pertaining to internal tools.