Top Artificial Intelligence Software Engineer Jobs

Lead WellTheory’s engineering organization as a player-coach, overseeing hiring, team development, technical direction, architecture, DevOps, reliability, compliance, AI-enabled development, and engineering processes. Partner with product and design on roadmap decisions while remaining hands-on in TypeScript and JavaScript codebases. Own engineering practices supporting HIPAA, SOC 2, and HITRUST requirements in a fully remote digital health company.

Build and maintain scalable JavaScript applications, API integrations, and open-source projects for global clients. Responsibilities include writing and reviewing code, debugging across frontend, backend, database, and network layers, optimizing performance, designing scalable architectures, handling concurrency, documenting technical work, and addressing edge cases. The role is fully remote and includes structured technical growth, peer feedback, and an assessment process involving an OSS hackweek.

Investigate customer workflow failures using logs, browser tools, APIs, and code; implement and verify fixes; build custom integrations and production software; support customer onboarding; and translate technical issues into clear explanations. The role combines software engineering with customer-facing problem solving, occasional travel, and collaboration with Customer Success. Candidates should have strong programming foundations, web technology knowledge, adaptability across complex systems, curiosity, and excellent communication skills.

Lead development of production-grade Flutter and Dart mobile applications, including shared offline capabilities, local persistence, background synchronization, conflict resolution, data-age safeguards, and reliability testing. Provide technical leadership through code reviews, troubleshooting, mentoring, and collaboration while leveraging AI tools such as Claude and Claude Code. Ensure performance and compatibility across devices and operating systems and oversee delivery of scalable, maintainable mobile solutions.

Join a small founding team to build full-product features for an AI assistant for litigators. Work across frontend, backend, infrastructure, testing, and CI/CD; ship rapidly with design partners; engage with users; and iterate on product and architecture.

Build products and features on Linkup’s proprietary index, develop SDKs and integrations for AI agent workflows, and ship demos, sample apps, and starter kits. Create technical content such as tutorials, videos, blog posts, and benchmarks. Gather developer feedback to influence product and developer experience priorities while collaborating with engineering, product, GTM, and developer relations teams.

Investigates and resolves complex customer issues involving software, APIs, cameras, imaging systems, algorithms, integrations, and development environments. Develops and debugs customer-specific code, diagnostic tools, integrations, scripts, and documentation. Provides technical guidance, analyzes logs, reproduces issues, and collaborates with Support, Product, and Engineering teams. Supports Engineering Services engagements through planning, development, testing, validation, documentation, and deployment while translating customer feedback into product improvements.

Build and deploy production software directly with customers in sensitive operational environments. Responsibilities include developing custom integrations, AI agent configurations, analytics, and operator workflows; debugging live agent behavior; adapting the platform to mission-specific needs; and feeding deployment insights back to core engineering. The role requires full-stack engineering, AI/ML understanding, self-direction, regular travel, and extended customer-site work in the DMV region.

Join as a founding software engineer to build core product and infrastructure, collaborate with the founding team, and help shape technical direction. Role is in-person in San Francisco; compensation includes competitive salary and equity. Submit resume to the provided email.

Own and evolve StackYak’s backend control plane, including PostgreSQL data models, durable workflows, APIs, identity and authorization, infrastructure integrations, billing, and production reliability. Build programmatic access through management APIs, Terraform, CLI, and agent interfaces. Design systems for correctness, idempotency, tenancy, security, and partial failure while operating the platform in production and shaping its technical standards.