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.

Review, label, classify, and validate data used to train and evaluate Gemini. Apply detailed guidelines consistently, identify discrepancies and edge cases, perform quality checks, escalate unclear cases, and provide feedback while meeting productivity and accuracy standards in a remote contract role.

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.

The Senior Sales Consultant will identify and engage enterprise-level prospects in the US, manage the sales cycle, and achieve revenue targets through effective negotiation and relationship building.

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.

Lead end-to-end client AI transformation engagements: discover and frame executive problems, design and build production-credible PoAs (data pipelines, integrations, LLM/RAG apps) within 2–3 weeks, present to executives, hand off to delivery, mentor junior FDEs, and convert PoAs into full engagements.