Staff Applied AI Engineer

truebill; United States; Remote; USD 200,000 - 270,000; Full time

Benefits offered by this job

Health, dental, and vision plans

401k matching

Unlimited PTO

Daily lunch, snacks, coffee

Job summary

truebill is hiring a Staff Applied AI Engineer to build the Capabilities Engine, the core platform powering reliable, observable, and production-ready agentic behavior across the product. The role sits in a focused team working at the intersection of LLM-powered reasoning, deterministic execution systems, tool orchestration, and consumer-grade product craft.

The team designs reusable platforms, partners with channel owners to enhance agentic capabilities, and builds robust evaluation loops and

Qualifications

• A significant background in building and operating agentic or LLM-powered systems in production at scale.
• Fluency with TypeScript, Node, GraphQL, Postgres, LLM applications and workflow orchestration.
• Hands-on experience designing evaluation and observability for probabilistic or agentic behavior.
• A track record of improving reliability, alerting, tracing, incident response, and operational quality.
• Comfort working with product, design, data, platform, operations, legal, and support teams in sensitive domains.
• Experience building products where customer trust, permissions, explainability, and recovery paths matter.

Responsibilities

• Design and operate a reusable platform that makes capabilities easy for agents and contact methods to discover, invoke, compose, observe, and improve.
• Partner with method-specific owners to improve channel integration with the platform.
• Identify patterns and turn them into reusable capabilities, interfaces, evaluations, and documentation.
• Build evaluation loops including offline tests, production metrics, traces, regression suites, and reviews.
• Debug complex failures spanning model behavior, tool execution, orchestration, and product constraints.
• Translate needs into durable systems and mentor engineers across the group.

Skills

LLM systems

Agentic systems

TypeScript

Node.js

GraphQL

Postgres

Workflow orchestration

Observability

Reliability

Collaboration

Tools

Observability tools

Tracing systems

Incident management

Job description

Role overview

A consumer fintech is hiring a Staff Applied AI Engineer to build the Capabilities Engine, the core platform powering reliable, observable, and production-ready agentic behavior across the product. The role sits inside a focused team working at the intersection of LLM-powered reasoning, deterministic execution systems, tool orchestration, and consumer-grade product craft. The goal is agents that can correctly, safely, and verifiably complete real work for customers across contact methods such as phone, email, chat, and web.

Responsibilities

• Design and operate a reusable platform that makes capabilities easy for agents and contact methods to discover, invoke, compose, observe, and improve.
• Partner with method-specific owners to make each channel more agentic and better integrated with the platform.
• Identify repeated patterns across methods and turn them into reusable capabilities, interfaces, evaluations, and documentation.
• Build practical evaluation loops including offline tests, production metrics, traces, regression suites, and qualitative review.
• Debug complex failures spanning model behavior, tool execution, orchestration, product constraints, and downstream systems.
• Translate ambiguous product needs into shippable technical plans, prototypes, and durable systems, then mentor other engineers across the group.

Requirements

• Significant experience building and operating agentic or LLM-powered systems in production at scale.
• Fluency with TypeScript, Node, GraphQL, Postgres, LLM applications, and workflow orchestration.
• Hands-on experience designing evaluation and observability systems for probabilistic or agentic behavior.
• A track record of improving reliability, alerting, tracing, incident response, and operational quality for production software.
• Comfort partnering deeply with product, design, data, platform, operations, legal, and support teams in customer-sensitive domains.
• Firsthand experience building products where customer trust, permissions, explainability, and recovery paths are central.

Benefits and work setup

• Health, dental, and vision plans, competitive pay, 401k matching, and unlimited PTO.
• In-office perks include daily lunch, snacks, coffee, and commuter benefits.
• Salary range disclosed in the listing is $200,000 to $270,000 per year plus bonus and benefits.