AI Engineer [REMOTE] - Remote

ServiceTitan runs the businesses behind the trades: jobs, trucks, technicians, equipment, contracts, payments, warranties, compliance obligations, and customer history. 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.
You will own well-scoped pieces of the platform, with design and code review from senior engineers, across these areas:
Build tenant-scoped context assembly, retrieval, freshness controls, provenance, transcripts, artifacts, tool results and replayable evidence. Build human-in-the-loop gates, approval thresholds, reversibility, tenant policy enforcement and audit history for financial, contractual, dispatch, warranty and compliance-sensitive workflows.
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.
Contribute to practical tradeoffs across latency, cost, quality, structured outputs, caching, fallback behavior, provider choice and model routing behind a shared platform layer.
Write production code, build reliable APIs, workflows and services for agent execution, and review teammates implementations.
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.
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.
~ Experience building AI, ML, data, platform, infrastructure, workflow, automation or developer-platform systems in production.
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.
We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. Use of AI Technology:
We use technology, including automated and AI-assisted tools, to support certain aspects of our recruitment process. AI tools are not used to make hiring decisions; 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. 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.
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.
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.
We comply with all applicable minimum wage laws. 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.