AI Engineer

Ready to be a Titan?

ServiceTitan runs the businesses behind the trades: jobs, trucks, technicians, equipment, contracts, payments, warranties, compliance obligations, and customer history. That operational context is our advantage. We are building Agent OS to turn that context into safe, observable, production-grade agent work.

Agent OS is the shared runtime, context, memory, action, trust, and evaluation layer behind role-specific AI experiences across Atlas, office, field, voice, mobile, and future product surfaces. This is not a collection of chatbots. It is the platform that lets agents help contractors run their businesses with the right evidence, permissions, approvals, and audit trails.

You will help build the core engineering primitives behind that platform: agent runtime, typed tools, context and memory assembly, trust and approval flows, evaluation infrastructure, and production observability. You are not building one agent for one product surface. You are building the platform that product teams use to build many agents safely.

You will work on a small, senior AI platform team and partner closely with Product, Architecture, Security, Data Platform, Atlas, and domain engineering teams.

What you'll do

You will own well-scoped pieces of the platform, with design and code review from senior engineers, across these areas:

• 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: Contribute to practical tradeoffs across latency, cost, quality, structured outputs, caching, fallback behavior, provider choice and model routing behind a shared platform layer.

Day to day, you will also:

• Write production code, build reliable APIs, workflows and services for agent execution, and review teammates' implementations.
• Inspect traces, debug failures and improve production behavior, working through real failure modes: stale context, wrong tool calls, missing permissions, unsafe actions, poor retrieval, latency spikes and cost regressions.
• Design evaluation scenarios and regression suites for agent workflows.
• Partner with domain teams to turn agent use cases into reusable platform patterns, and help define platform contracts for tools, actions, approvals, context, memory, evidence and evaluation.

What you'll bring

Required

• B.S., M.S. or PhD (or equivalent practical experience) in Computer Science, Engineering, Physics or a related field.
• 0-3 years of professional, internship or substantial project experience building software.
• Strong hands-on coding ability in Python (strongly preferred) or a comparable backend language such as TypeScript, C# or Java, with clean, tested code.
• Practical understanding of LLM application basics: prompt and context assembly, retrieval, tool calling, structured outputs and agent workflows. Substantial academic, internship or personal projects count.
• Working knowledge of SQL and databases, REST APIs, Git and async or background processing.
• Production-safety instincts: you think about failure modes, validation, permissions, idempotency, audit trails and monitoring, even if you have applied them mainly in projects.
• Good engineering judgment and clear written and verbal communication.

Preferred (you don't need all of these)

• Experience building AI, ML, data, platform, infrastructure, workflow, automation or developer-platform systems in production.
• Experience with modern LLM architecture: model gateways, memory, human approval patterns.
• Exposure to distributed or event-driven systems: queues, durable execution, message-driven architectures.
• Experience designing or operating evaluation systems: behavioral evals, regression suites, scenario tests, trajectory review, simulation, online metrics or production monitoring.
• Data and context instincts: unstructured data, vector search, metadata, provenance, freshness, source authority and privacy boundaries.
• Experience with databases, warehouses or search systems such as PostgreSQL, SQL Server, Snowflake, BigQuery, Elasticsearch or vector stores.
• Experience building services on public cloud infrastructure such as Azure, AWS or GCP.
• Awareness of reliability, security, observability and multi-tenant SaaS constraints.
  

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.

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.