Top Artificial Intelligence Jobs

Own an AI agent product area end to end, from customer discovery and workflow definition through launch and production outcomes. Define agent permissions, approval rules, evaluations, quality thresholds, and MSP configuration. Partner closely with design and engineering, conduct weekly research with MSP customers and technicians, support pilots, prototype prompts and workflows, and prioritize improvements using metrics such as resolution rate, escalation accuracy, time saved, and customer satisfaction.

Lead product direction and execution for an open AI infrastructure platform. Partner with founders, engineers, technical leads, customers, and researchers to connect environments, evaluations, training, deployment, and traces into cohesive workflows. Define roadmaps, prototype solutions, write product specifications, guide design and implementation, and measure adoption and user success. The role requires deep experience building technical products, preferably in developer tools, AI infrastructure, or ML platforms, with useful expertise in training, inference, multi-agent systems, reinforcement learning, continual learning, or evaluations.

Develop and improve AI agents and machine learning models that identify financial opportunities in healthcare contracts, supply chain, pharmacy, and managed care data. Analyze complex datasets, automate manual workflows, build information extraction and agentic capabilities, and establish evaluation frameworks. Collaborate with engineering, product, value engineers, and healthcare subject-matter experts to translate research into scalable solutions with measurable financial impact.

Build and lead Unframe’s western U.S. enterprise sales organization, managing Regional GMs across technology, media, and manufacturing. Responsibilities include hiring and coaching sales leaders, developing regional pipeline strategy, guiding complex multi-stakeholder enterprise deals, collaborating with Marketing, Product, and Customer Success, representing the company in market ecosystems, and shaping go-to-market strategy. The role requires frequent travel for customer meetings, executive sessions, QBRs, and industry events.

Owns full-cycle recruiting for engineering and research roles, partnering with hiring managers and founders to define candidate profiles, source passive talent, screen candidates, manage agencies, close offers, and build technical talent pipelines. The role focuses on hiring engineers and specialists in AI evaluations, security, research, and forward-deployed engineering while using funnel data, talent mapping, events, and networks to improve recruiting outcomes.

Supports the U.S. Attorney’s Office by managing witnesses before, during, and after trials. Responsibilities include coordinating travel and lodging, providing courtroom orientation, preparing reimbursement documentation, tracking hearings and appearances, maintaining files and databases, communicating with attorneys and federal agencies, and completing legal and administrative forms in accordance with DOJ procedures.

Supports the SVP of Engineering and VP of Project Finance by managing calendars, leadership meetings, travel, expenses, hiring logistics, confidential information, and follow-through. Owns day-to-day office administration, including facilities, vendors, supplies, access badges, visitors, onboarding, events, safety procedures, space planning, and workplace policies. Coordinates with Engineering, Finance, People/HR, IT, Legal, and Project Management.

Own platform reliability across APIs, websockets, inference jobs, and rendering workloads. Define SLOs, improve observability, manage Kubernetes and AWS infrastructure, strengthen queues and deployment safety, lead major incident response, remediate security findings, support SOC 2 and ISO evidence, and optimize GPU costs. The role also requires application-level TypeScript fixes, infrastructure as code, postmortems, and participation in an on-call rotation.

Own and evolve the AI Accountant’s full-stack systems, with emphasis on backend architecture, reliable third-party data ingestion, idempotent processing, background jobs, account synchronization, and production operations. Integrate LLMs and ML into classification and reconciliation workflows with strong validation and failure handling. Design PostgreSQL schemas and ensure transactional correctness while shipping frequently and owning systems end to end.

Manages front desk and office operations while supporting HR administration, onboarding and offboarding, employee records, payroll coordination, HR systems, benefits providers, and confidential documentation. Coordinates vendors, schedules, meetings, deliveries, and administrative projects; resolves employee and provider issues; tracks follow-ups; and recommends workflow improvements. Requires strong organization, communication, discretion, and the ability to work independently across multiple priorities.