AI Engineer

What you’ll do

What you’ll do

What We Offer:

• When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:
• Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career. We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. Great work is rewarded through Bonusly, peer-nominated awards, and more.
• Holistic health and wellness benefits: Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents), FSA and HSA, 401k match, and telehealth options including memberships to One Medical.
• Support for Titans at all stages of life: Parental leave and support, up to $20k in fertility services (i.e. IUI and IVF), surrogacy, and adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, pet insurance, legal advisory services, financial planning tools, and more.
• At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We strongly encourage people from underrepresented groups to apply. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.
• ServiceTitan is committed to fair and equitable compensation for all of our employees. We thoughtfully consider a wide range of factors when determining individual compensation, which may change over time. We comply with all applicable minimum wage laws. For candidates in the United States, the good faith salary ranges estimate for this role is Zone 1: $147,600 USD - $221,400 USD Applicable for: CA, CT, DC, MD, MA, NJ, NY, VA, and WA Zone 2: $137,900 USD - $206,900 USD Applicable for: All other US locations. International Compensation for candidates residing outside the United States will vary by location and will be discussed during the hiring process. Actual compensation within a range is determined by factors including relevant experience, skill set, qualifications, and performance. In addition to base salary, our total compensation package includes an annual bonus, equity, and a holistic suite of benefits.

Responsibilities

• Agent runtime and workflow execution: Build the runtime for role-specific agents, tool use, delegation, pause/resume, durable checkpoints, retries, and failure recovery. Agents must resume safely without losing state or duplicating side effects.
• Typed tools and action contracts: Build deterministic controls around non-deterministic reasoning: governed reads, proposed writes, precondition checks, business invariants, scoped permissions, idempotency, audit trails, and rollback.
• Context and memory systems: Build tenant-scoped context assembly, retrieval, freshness controls, provenance, transcripts, artifacts, tool results, and replayable evidence. ServiceTitan systems of record stay authoritative; memory provides context and coordination.
• Trust and approval infrastructure: Build human-in-the-loop gates, approval thresholds, reversibility, tenant policy enforcement, and audit history for financial, contractual, dispatch, warranty, and compliance-sensitive workflows.
• Evaluation and observability: Build offline and online evals, scenario libraries, simulation, trajectory review, regression detection, cost and latency telemetry, and autonomy promotion gates.
• Reusable capability platform: Help product teams package prompts, tools, context requirements, policies, evals, rollout controls, ownership, and rollback into governed capabilities for owners, CSRs, dispatchers, technicians, managers, and back-office teams.
• Model and inference architecture: Make practical tradeoffs across latency, cost, quality, structured outputs, caching, fallback behavior, provider choice, and model routing behind a shared platform layer.
• Design and implement core Agent OS platform services.
• Write production code and review implementation details from other engineers.
• Build reliable APIs, workflows, tools, and services for agent execution.
• Inspect traces, debug failures, and improve production behavior.
• Design evaluation scenarios and regression suites for agent workflows.
• Work through real agent failure modes: stale context, wrong tool calls, missing permissions, unsafe actions, poor retrieval, latency spikes, and cost regressions.
• Partner with domain teams to turn agent use cases into reusable platform patterns.
• Help define platform contracts for tools, actions, approvals, context, memory, evidence, and evaluation.
• Contribute to technical direction while staying grounded in what can ship quickly and safely.
• Communicate clearly with engineers, product managers, architects, security partners, and engineering leadership.
• Be Human With Us:
• Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us.
• Use of AI Technology:
• We use technology, including automated and AI-assisted tools, to support certain aspects of our recruitment process. These tools are designed to improve efficiency and enhance the candidate experience. AI tools are not used to make hiring decisions; all hiring decisions are made by our hiring teams.