Top Artificial Intelligence Software Engineer Jobs

Lead a 4-5 person engineering team to build clinician-facing quality platform: define technical/product direction, ship AI-assisted workflows from transcripts to chart notes, partner with clinical/product/design/data, hire and develop engineers, ensure reliability, observability, privacy, and measure care quality and outcomes.

Lead a 4–6 engineer team owning provider journey systems (application, onboarding, scheduling, productivity, earnings). Drive architecture, delivery, data foundations, automation, and product decisions to scale provider capacity, improve activation funnels, and connect provider growth to patient access and business outcomes.

Lead and grow a 4–6 engineer team building provider- and operations-facing systems. Stay hands-on with architecture, coding, on-call, and partner with product, design, data, and ops to automate workflows, improve scheduling, onboarding, billing/claims, and build reliable, auditable systems that scale across a nationwide clinical network.

Develop and deploy EDA/CAD software, automation, and AI-assisted tools to accelerate custom memory IC design workflows. Collaborate with design, layout, verification, and CAD teams to integrate LLMs, generative AI, and automation into verification, modeling, and tape-out flows.

This role involves data analysis, developing applications for production metrics, leading projects, mentoring, and improving processes using engineering concepts.

Design, develop, and deploy EDA/CAD software, automation, and AI-assisted tools for custom memory IC layout, verification, simulation, and tape-out. Collaborate with global design teams to identify use cases, integrate AI/LLM capabilities into workflows, qualify EDA tools, and contribute to scalable software engineering practices, testing, and documentation.

First engineering manager for a fast-growing CPG-focused AI infrastructure company. You'll manage 6–10 engineers, own team delivery and hiring, shape org design and career ladders, stay close to code across Rails/TypeScript/React/Python systems, and grow future leaders while keeping processes lightweight.

Work with customers and sales as a technical advisor to design and build integration solutions on Coinbase services. Architect distributed systems, develop open-source SDKs and reference implementations, lead end-to-end customer implementations, deliver technical presentations, remove roadblocks, and collaborate with product and engineering to extend platform capabilities. Substantial hands-on coding required.

As a Senior Engineer 2, you'll lead the design and delivery of high-scale AI Inference services, optimizing performance and mentoring junior engineers in a collaborative environment.

Design, build, test, and maintain scalable customer-facing web applications and APIs using Java/Spring Boot and AWS. Implement microservices, CI/CD, automated tests, and monitor performance. Participate in code reviews, mentor teammates, document architecture, and collaborate with product and cross-functional teams to meet business requirements.

Build and maintain scalable backend and platform services for a content management system using .NET, Python, and AWS. Implement RESTful APIs, messaging, graph and search integrations, and AI/LLM-enabled features (tagging, summarization, semantic search). Collaborate with product and cross-functional teams, apply engineering best practices, and contribute to CI/CD, testing, and platform reliability.

Lead technical development in the corporate Salesforce org, design and implement scalable solutions, write and review Apex code, troubleshoot issues, reduce technical debt, mentor junior developers, collaborate with product owners and architects, and recommend dev-ops and coding best practices.

Develop and deploy cloud and edge software for command-and-control and autonomous systems. Integrate heterogeneous sensors and effectors, build real-time state estimation and AI/LLM-driven decision systems, and engineer scalable, reliable solutions for high-stakes operational and tactical missions.

Design, implement, and optimize cloud and edge software for mission-critical autonomous systems. Process heterogeneous sensor data for real-time state estimation and threat detection, integrate sensors and effectors, build LLM/AI-driven decision systems, and engineer scalable, reliable, fail-safe solutions for tactical and operational missions while collaborating with multidisciplinary teams.

Design, implement, and deploy cloud and edge software to command and control autonomous systems. Integrate heterogeneous sensors and effectors, develop real-time state estimation and threat-detection algorithms, build LLM/AI-driven decision systems, and collaborate with multidisciplinary teams to deliver scalable, reliable mission-critical autonomy solutions.

Lead and grow a small engineering team while remaining hands-on with architecture and delivery. Drive product execution, align engineering priorities with company OKRs, champion code quality and system design, and hire and develop engineers as the company scales.

Design and build scalable, event-driven backend services and workflow orchestration systems. Develop reusable workflow components and APIs, ensure reliability and observability, and collaborate with Product and Design to deliver intuitive workflow automation experiences for enterprise use cases.

Join Vercel as a DevRel Engineer for agentic infrastructure. Build agents and demos on AI Gateway and Sandbox, create canonical examples, teach developers via writing and talks, influence product design by surfacing developer feedback, and own launch artifacts and initial community support.