Top Artificial Intelligence Jobs in Pittsburgh, PA

Build and own the technical roadmap: design AI-first interfaces and APIs, architect scalable ETL pipelines, develop data models for ML features, ship autonomous B2B workflows (PO generation, vendor sync, schedule optimizations), and establish engineering standards, CI/CD, and mentoring.

Remote, unpaid internship for current high school students interested in AI, business, or startups. Interns receive training on AI agents and business software, test the Admitpro.ai platform by identifying bugs and evaluating features, provide product feedback, and create and present an independent competitor analysis and startup strategy project.

Design, develop, and maintain core database features for VillageSQL Cloud, emphasizing performance, stability, scalability, security, and reliability. Build distributed systems using Go and Kubernetes, collaborate on technical vision and architecture, contribute to open-source projects, participate in code reviews, troubleshoot complex issues, and engage with the developer community. The role focuses on database-as-a-service infrastructure and cloud service evolution.

Work with the development team to build and debug web applications: write Python backend code, create responsive HTML/CSS/JavaScript frontends, integrate frontend and backend, participate in code reviews and testing, learn frameworks and document progress.

The AI Marketer/DevRel will enhance brand awareness through technical content, community engagement, and storytelling while fostering developer relations.

Own the full sales cycle for mid-market travel agencies, from researching named accounts and sourcing opportunities through discovery, platform demonstrations, multithreaded deal management, forecasting, and closing. Sell Tern’s operational SaaS platform, including accounting and commissions functionality, to agency owners and back-office stakeholders. Maintain rigorous HubSpot records, deliver accurate forecasts, coordinate internal resources, secure full-seat commitments, and provide complete implementation handoffs.

Build AI development workflows, agent orchestration systems, collaborative tooling, generative creative pipelines, SDKs, and infrastructure that help teams rapidly prototype and productionize educational experiences. The role spans infrastructure, product, and creative tooling, with responsibility for autonomous agents, asynchronous workflows, multimodal asset generation, reusable engineering primitives, and technical support for a small collaborative team.

Own the full-cycle recruiting process from sourcing and recruiter screens through interviews, offer negotiation, and closing. Build outbound pipelines using LinkedIn Recruiter, referrals, and talent mapping; manage candidate workflows in the ATS; partner with hiring managers; assess candidate fit; and use AI and automation to improve recruiting efficiency. The role supports hiring across engineering, product, sales, marketing, and other functions in a fast-paced startup environment.

Leads the state, local government, and education Solutions Engineering organization across the United States and Canada. The role manages managers, scales hiring, owns technical win rates and coverage models, supports sales forecasting, and guides customer deployments and proofs of concept. Responsibilities include drone program design, site assessments, CAD/VMS integrations, BVLOS and waiver strategy, public-sector procurement, product feedback, and technical enablement. The position is remote with approximately 30% travel and requires strong public safety drone expertise.

Build and maintain Safari AI’s cloud infrastructure, including production services, system design, reliability, documentation, and security compliance. The role sets technical direction for the cloud stack, collaborates with engineering and operations teams, improves development processes, and delivers incremental features. Candidates should have 4–6 years of software engineering experience, public cloud expertise, and experience taking complex services from concept through production. Streaming processing and machine learning experience are advantageous.