5+ years of experience in software engineering or related field
Strong proficiency in building APIs and workflows
Experience with agent-based systems and runtime environments
Familiarity with evaluation and observability frameworks
Knowledge of compliance-sensitive workflows and audit trails
Ability to design and implement scalable systems
Excellent communication skills for cross-functional collaboration
Responsibilities
Build runtime for role-specific agents with robust failure recovery
Develop deterministic controls for non-deterministic reasoning
Create context and memory systems for tenant-specific data management
Establish trust and approval infrastructure for sensitive workflows
Design evaluation scenarios and regression detection mechanisms
Inspect and debug production issues to enhance system reliability
Collaborate with domain teams to create reusable platform patterns
Benefits
Flexible work environment
Opportunities for professional development
Collaborative team culture
Access to cutting-edge technology
Health and wellness programs
Full Job Description
What you'll do
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.
What you'll do
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.
