Divisional Artificial Intelligence Engineer III

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of architecture, implementation, and operational health for a platform domain such as agent lifecycle and state, sandbox context exchange, model orchestration, or tracing and evaluation.

• Design services and interfaces that support long-running tasks across deployments, restarts, retries, inspection, and replay, ensuring durability and failure recovery.

• Establish reusable patterns for context packaging and retrieval across execution environments, including defining boundaries for access, retention, and data movement.

• Build or enhance model routing and orchestration capabilities; define and utilize measurements for quality, latency, reliability, and cost per task.

• Lead technical discovery with product teams, identify shared needs, and prioritize platform initiatives that minimize duplicated engineering efforts and unplanned disruptions.

• Define domain-level testing, tracing, evaluation, and operational readiness practices; review production signals and spearhead the resolution of complex incidents.

• Create architecture documentation and migration guidance to assist engineers in adopting platform capabilities without requiring extensive one-on-one support.

• Mentor engineers, review designs and code, and contribute to technical planning within the AI engineering group.

• Perform responsibilities in accordance with company policies, procedures, and relevant federal, state, and local laws.

• Execute additional duties as assigned.

⛳️ Requirements

• Bachelor's Degree in Computer Science, Software Engineering, a related technical field, or an equivalent combination of education and work experience.

• A minimum of five (5) years of software engineering experience, or equivalent practical experience, including ownership of production services.

• Experience in developing LLM-powered applications or AI infrastructure.

• Advanced proficiency in TypeScript and/or Python with experience in designing production services and APIs.

• Familiarity with distributed systems, asynchronous job processing, persistence, observability, cloud deployment, and secure system design.

• Experience in shipping and supporting LLM features, including understanding practical tradeoffs among model behavior, latency, and cost.

• Ability to lead technical tasks from ambiguous problem definition through design, implementation, rollout, and operational enhancement.

• Capability to make platform interfaces reusable and comprehensible across teams with varying product requirements.

• Ability to influence technical decisions, communicate risks and tradeoffs, and mentor engineers of diverse experience levels.

🏝️ Benefits

• Comprehensive health, dental, and vision insurance.

• Generous paid time off and holiday schedule.

• Opportunities for professional development and growth.

• Flexible work environment, including remote work options.

• Competitive salary and performance-based bonuses.