Top Artificial Intelligence Jobs

The role involves building and optimizing compression technology, designing neural models, and enhancing training systems for efficient and effective codec production.

Develop full-stack web applications using ReactJS, Redux, JavaScript, C#, and ASP.NET Web API. Build front-end integrations with microservices, REST APIs, GraphQL APIs, third-party libraries, and database-driven applications. Implement asynchronous programming and state management, apply modern web security practices, and work with relational and non-relational databases including NoSQL, Elasticsearch, and time-based databases.

Build open-source infrastructure and AI workflows using TypeScript and LLMs to enable high-quality translation and code generation. Collaborate with engineering team, solve difficult product problems, and work onsite in San Francisco.

Build and ship optimization algorithms and integrations for enterprise trucking fleets. Act as a technical generalist: implement product features, work directly with clients to gather requirements, iterate quickly, and contribute to long-term product vision. Work in a fast-paced startup using Python and TypeScript.

Design and scale a horizontal AI agent and process millions of government records into agent‑legible knowledge graphs. Build and ship AI-powered features, integrate LLMs into product workflows, and own core backend and frontend production systems.

Conduct exploratory research on LLM agents, reasoning, planning, multi-agent coordination, and evaluation. Design and run experiments, build research prototypes, analyze results, document findings, and collaborate toward publications or open-source contributions under mentorship from research scientists and engineers.

Design and maintain ingestion pipelines for 835/837 and scanned EOBs: OCR, LLM-assisted extraction, integrations (SFTP, clearinghouses), data modeling, validation, and reconciliation to produce deterministic, trustworthy healthcare records.

Lead design and implementation of generative design, computer vision, geometric deep learning, and reinforcement learning systems for automated building design. Integrate AI with BIM tools, deploy production MLOps pipelines, implement physics-informed models, collaborate with architects/engineers, and publish research to advance AEC-focused AI.

Design, implement, and maintain Terraform-based Infrastructure as Code and Azure environments. Build and optimize CI/CD pipelines, automate deployments, enable containerized microservices on Kubernetes, ensure security, monitoring, and networking best practices, troubleshoot infrastructure issues, and document standards while collaborating with distributed development teams.

As a Software Engineer, you will develop full-stack workflows, utilize LLMs and AI for document processing, and manage high-impact features while collaborating with the team and customers.