AI Engineer

🔥 12 hours ago

🏄 California, Connecticut, +7 more states – Remote

🏄 California – Remote 🦌 Connecticut – Remote 🏛️ District of Columbia – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $137.9k - $221.4k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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ServiceTitan

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

💼 Consulting

📦 Logistics

📣 Marketing

💰 $200M Series G on 2021-06

Consulting • Logistics • Marketing

ServiceTitan is a comprehensive software platform designed for the trades industry, providing solutions to enhance productivity and profitability for businesses. It offers a variety of features including dispatching, scheduling, marketing, reporting, and customer experience tools, tailored for trades like plumbing, HVAC, electrical services, and more. ServiceTitan seeks to empower businesses by optimizing operations, improving cash flow, and delivering superior customer experiences through an all-in-one platform. The software includes real-time data analytics, financing options, and mobile capabilities to support the operational needs of contractors and increase their revenue streams. By consolidating multiple business functions into a single platform, ServiceTitan aims to help contractors grow profitably and efficiently.

📋 Description

• Build the runtime for role-specific agents, including tool use, delegation, pause/resume, durable checkpoints, retries and failure recovery • Build deterministic controls around non-deterministic reasoning, including governed reads, proposed writes, precondition checks, business invariants, scoped permissions, idempotency, audit trails and rollback • 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 sensitive workflows • Build offline and online evaluations, scenario libraries, simulation, trajectory review, regression detection, cost and latency telemetry and autonomy promotion gates • Help product teams package prompts, tools, context requirements, policies, evaluations, rollout controls, ownership and rollback into governed capabilities • Contribute to tradeoffs involving latency, cost, quality, structured outputs, caching, fallback behavior, provider choice and model routing • Write production code and build reliable APIs, workflows and services for agent execution • Review teammates' implementations • Inspect traces, debug failures and improve production behavior • Design evaluation scenarios and regression suites for agent workflows • Partner with domain teams to turn agent use cases into reusable platform patterns and define platform contracts

🎯 Requirements

• 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 or a comparable backend language such as TypeScript, C# or Java • Clean, tested code • Practical understanding of LLM application basics: prompt and context assembly, retrieval, tool calling, structured outputs and agent workflows • Working knowledge of SQL and databases, REST APIs, Git and async or background processing • Production-safety instincts involving failure modes, validation, permissions, idempotency, audit trails and monitoring • Good engineering judgment and clear written and verbal communication • Experience with AI, ML, data, platform, infrastructure, workflow, automation or developer-platform systems in production preferred • Experience with modern LLM architecture preferred • Exposure to distributed or event-driven systems preferred • Experience designing or operating evaluation systems preferred • Knowledge of unstructured data, vector search, metadata, provenance, freshness, source authority and privacy boundaries preferred • Experience with PostgreSQL, SQL Server, Snowflake, BigQuery, Elasticsearch or vector stores preferred • Experience building services on Azure, AWS or GCP preferred • Awareness of reliability, security, observability and multi-tenant SaaS constraints preferred

🏖️ Benefits

• Flexible time off • Learning and development opportunities • Comprehensive onboarding program • Leadership training • Programs and events • Bonusly rewards • Peer-nominated awards • Company-paid medical, dental, and vision insurance • 100% employer-paid options and 90% dependent coverage • FSA and HSA • 401(k) match • Telehealth options, including One Medical memberships • Parental leave and support • Up to $20k in fertility services (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 • Annual bonus • Equity • Holistic suite of benefits

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