AI Engineer
ServiceTitan2 days ago
Remote, United StatesEntry Level / Mid Level
H1B sponsor
Base Salary
$138k - $221k/yr
Responsibilities
- Build agent runtime and workflow execution capabilities, including tool use, delegation, pause/resume, durable checkpoints, retries, and failure recovery.
- Develop typed tools and action contracts with permissions, precondition checks, idempotency, audit trails, and rollback controls.
- Build tenant-scoped context assembly, retrieval, memory, provenance, transcripts, artifacts, tool results, and replayable evidence.
- Implement human-in-the-loop approval flows, policy enforcement, reversibility, and audit history for sensitive workflows.
- Create offline and online evaluations, scenario libraries, simulations, trajectory reviews, regression detection, and cost and latency telemetry.
- Package reusable governed capabilities for product teams, including prompts, tools, policies, evaluation, rollout, ownership, and rollback controls.
- Write production code and reliable APIs, workflows, and services; inspect traces, debug failures, and review implementations.
- Contribute to model and inference architecture decisions involving latency, cost, structured outputs, caching, fallback behavior, provider choice, and routing.
Requirements
- B.S., M.S., or PhD in Computer Science, Engineering, Physics, or a related field, or equivalent practical experience.
- 0–3 years of professional, internship, or substantial project experience building software.
- Strong hands-on coding ability in Python or a comparable backend language such as TypeScript, C#, or Java.
- Practical understanding of LLM application fundamentals including prompt and context assembly, retrieval, tool calling, structured outputs, and agent workflows.
- Working knowledge of SQL, databases, Git, and asynchronous or background processing.
- Production-safety awareness involving failure modes, validation, permissions, idempotency, audit trails, and monitoring.
- Preferred qualifications include experience with AI, ML, data, platform, infrastructure, workflow, automation, or developer-platform systems.
- Preferred qualifications include exposure to model gateways, memory, human approval patterns, distributed or event-driven systems, evaluation systems, search or vector systems, public cloud, reliability, security, observability, and multi-tenant SaaS.
Benefits
- Flexible time off, flextime, learning and development opportunities, onboarding, leadership training, Bonusly, and peer-nominated awards.
- Company-paid medical, dental, and vision options, including fully employer-paid options and dependent coverage, plus FSA, HSA, 401(k) match, and telehealth options including One Medical memberships.
- Parental leave, fertility services support, surrogacy and adoption reimbursement, maternity support, breast milk shipping, pet insurance, legal advisory services, and financial planning tools.
Tech Stack
AWSAzureC#ElasticsearchGitGoogle BigQueryGoogle Cloud PlatformJavaMicrosoft SQL ServerPostgreSQLPythonSnowflakeSQLTypeScript
Categories
About ServiceTitan
ServiceTitan builds a cloud platform for home and commercial service contractors to run operations, including CRM, scheduling/dispatch, field mobile apps, estimates, invoicing, payments, and reporting. It also offers embedded fintech for payments and consumer financing, plus integrations for inventory and accounting. Founded in 2012 and headquartered in Glendale, California, it serves contractors across HVAC, plumbing, electrical, and roofing, and sells via subscription with add-on modules.