Top Artificial Intelligence Jobs in Pittsburgh, PA

Design and implement backend features in Go, build data pipelines and REST APIs, work with PostgreSQL and AWS, contribute to scalable system design, and optionally develop React.js user-facing features while collaborating in a fast-paced AI-focused startup.

Manage LiteLLM's top accounts as the technical lead, regularly communicate with developer customers, resolve issues and feature requests, prevent churn, drive product adoption and surface roadmap opportunities to product teams.

Build and ship core product surfaces and internal tooling for an AI-focused enterprise platform. Implement data pipelines, deploy with customers, collect feedback, and iterate quickly while working directly with the founder on architecture and execution.

Design, deploy, and maintain HPC and MLOps infrastructure across cloud and on-prem clusters. Manage schedulers (Slurm/PBS), optimize MPI/CUDA stacks, storage and networking, automate deployments with Python/Bash, instrument systems, and enable AI training/inference pipelines while collaborating with product and support teams.

Design and implement realistic cloud infrastructure reinforcement-learning environments to evaluate AI models. Create reproducible scenarios covering distributed systems, networking, IAM, queues, durable storage, observability, rolling deployments, and disaster recovery. Build deterministic validation tests, golden reference solutions, and defective variants; document architectures and collaborate with technical leads. Apply DevOps and infrastructure automation for scalable, secure solutions.

The Head of Engineering will drive technical direction, develop product architecture, and eventually lead the engineering team while coding and building AI systems.

Freelance, commission-based sales role to sell VisionCheck to medium-to-large opticians. Use existing optical industry contacts to open doors, drive demos, and close deals for a phone-based vision screening SaaS. Requires self-driven, entrepreneurial sellers comfortable with tech and impact-focused work to build local markets and increase in-store bookings.

Support customer onboarding, adoption, and relationship management by coordinating across CS, Product, and Engineering; monitor requests, document feedback, assist training, maintain health metrics, and identify improvements to optimize customer experience.

Lead and define AI research programmes to build novel architectures and evaluation methods for automated knowledge acquisition, reasoning, and large-scale journalism evaluation. Design experiments, implement and evaluate new ML methods, mentor research engineers, and publish results while delivering deployable, production-quality systems.

Design, build, and ship agentic LLM systems and orchestration pipelines. Translate stakeholder ideas into production workflows, write and refine prompts, run evals and observability in Weave or similar, and maintain system performance and guardrails.