Top Artificial Intelligence Jobs in Pittsburgh, PA

Work across AI, backend, and frontend: curate and clean writing datasets, fine-tune large language models, run training experiments, develop metrics and eval sets, build backend services in Python/Django, and implement frontend features with React.

Build production software and scalable cloud systems for AI-powered insurance calls. Responsibilities include designing core LLM systems, refining prompts, developing privacy- and security-conscious solutions, orchestrating thousands of concurrent phone calls, integrating FHIR APIs, testing, debugging, and documenting software. The role also contributes to product direction, engineering practices, and company culture as a foundational team member.

Build and ship end-to-end production features across APIs, databases, user interfaces, and testing. Work primarily with TypeScript, React, Next.js, NestJS, PostgreSQL, and related technologies. Integrate third-party services, maintain scalable systems, debug production issues, write automated tests, and make architectural improvements. The role requires ownership, proactive communication, independent execution, and effective use of AI coding tools in a remote, async-first team.

Conduct industry-focused AI research on autonomous agents and world models. Develop models involving large language models, active inference, and optimal policies, including architecture experimentation, fine-tuning, deep-learning agent development, and action optimization. Candidates will work on real-world enterprise problems while pursuing cutting-edge research during a fixed-term three- or six-month fellowship.

Lead security engineering for a federal health supply chain and logistics software product line. Own security architecture through authorization, establish engineering standards, assess and remediate complex findings, advise stakeholders on risk, and mentor engineers. The role requires federal security framework expertise, cloud security experience, cross-team remediation leadership, and eligibility for a Public Trust background investigation. Preferred experience includes federal health IT, ATO packages, Kubernetes security, incident response, HIPAA, and Agile or SAFe environments.

Work directly with customers to design, deploy, and integrate end-to-end AI evaluation pipelines. Curate data, define annotation schemes, set up LLM-based judges, run initial experiments, produce actionable results, and translate technical systems into practical workflows for users.

Provides Tier 2 technical support for Optain’s robotic retinal camera and software platform. Troubleshoots hardware, software, image quality, connectivity, EHR integration, and clinical workflow issues; handles medical device complaints under regulated quality processes; creates support documentation and training; improves internal tools and workflows; analyzes issue trends; and coordinates product, engineering, quality, regulatory, and customer success initiatives.

Build and manage sales pipeline through MSP events, conferences, roadshow dinners, field events, and high-volume outbound calls, emails, and LinkedIn outreach. Follow up with prospects, convert event conversations into qualified meetings, collaborate with Account Executives to improve messaging and handoffs, and maintain organized activity tracking. The role requires event confidence, strong communication, persistence, competitiveness, resourcefulness, and 1–2 years of BDR, SDR, or outbound sales experience, ideally in SaaS or cybersecurity.

Own and grow the U.S. corporate sales pipeline for AI-driven software development training. Responsibilities include engaging decision-makers, identifying business needs, tailoring training solutions, selling multi-day programs and ongoing enablement, developing long-term client relationships, and contributing to pricing, packaging, and go-to-market strategy. This is a remote, commission-based, consultative B2B sales role with potential for a future base salary.

Drive technical sales of industrial diamond abrasive products and machinery. Assess customer needs, recommend tailored solutions, configure products, troubleshoot installed equipment, manage sales cycles, build customer and distributor relationships, monitor markets, maintain CRM records, and support product and marketing teams. Frequent travel to customer sites, trade shows, and industry events is required.