Top Artificial Intelligence Software Engineer Jobs

Lead technical execution for teams building endpoint agents, backend and inference services, cloud infrastructure, and customer-facing products. Translate engineering priorities into plans, milestones, and ownership; guide architecture and implementation; manage, mentor, and develop engineers; oversee planning, delivery, quality, hiring, and onboarding; and remove technical or resourcing blockers. The role requires hands-on technical judgment, distributed systems experience, and familiarity with agentic coding tools in a fast-moving startup environment.

Serve as a technical partner for utility customers across pre-sales discovery, implementation scoping, pilots, and end-to-end deployments. Build integrations with asset management, GIS, inspection, and reporting systems; develop reusable deployment tooling and AI agents; address security and architecture concerns; identify expansion opportunities; and translate recurring field needs into product improvements. The role is approximately 80% customer-facing and requires close collaboration with Sales, Product, Solutions, and Engineering.

Build and support cloud-based surgical planning, visualization, and patient recovery software across frontend, backend, cloud infrastructure, data, 3D applications, and AI/ML workflows. Lead architecture, implementation, deployment, monitoring, and technical design decisions; mentor engineers; collaborate with Product and cross-functional teams; and improve testing, CI/CD, observability, documentation, and delivery practices.

Senior/staff full-stack engineer responsible for turning ambiguous customer needs into reliable, customer-facing software. The role owns features from scoping and architecture through implementation, launch, testing, instrumentation, and iteration across frontend, backend services, APIs, and integrations. Work includes improving research and writing workflows, evidence presentation, citations, and exports. Candidates should have independently shipped substantial products, strong frontend and backend fundamentals, product judgment, and experience with TypeScript, modern frontend development, APIs, and SQL.

Build and own a real-time conversational voice AI platform for automotive customers. Responsibilities include developing production systems across speech, LLM, telephony, and event-driven AWS services; optimizing latency and reliability; implementing observability, failover, infrastructure as code, CI/CD, and integrations; and leading technical decisions, engineering standards, knowledge sharing, and mentoring.

Build and maintain scalable APIs and web applications across the full stack. Own end-to-end development of customer-facing and internal product features, collaborate cross-functionally, engage with customers, and help create secure, performant applications for healthcare environments.

Build and scale reliable software systems supporting donor platforms, cash payments, and rapid-response programs. Own features end to end from architecture through deployment and monitoring, improve CI/CD and testing, troubleshoot production issues, and collaborate with product, operations, and data teams. The role also contributes to technical roadmaps and sustainable engineering practices in a mission-driven, fully remote organization.

Build and own Clouted’s full-stack platform for automating content distribution, campaign operations, creator management, and performance intelligence. Develop frontend and backend features, social-platform integrations, data pipelines, cloud infrastructure, and AI agent tooling. The role requires end-to-end product ownership, rapid execution, production reliability, and helping establish engineering standards in an early-stage startup.

Lead technical staff and develop production software across the full stack, including data models, ETL, APIs, frontend, algorithms, hardware integrations, ML pipelines, and infrastructure. Embed with manufacturing partners, translate observations into requirements, coordinate technical teams, and manage software and process-engineering deployments. Build stakeholder trust, train users, drive change management, and own operational and financial outcomes.

Design and develop secure, scalable, cloud-native backend services and APIs using Java and Spring Boot. Define API contracts, data schemas, authentication models, and service boundaries. Deploy and operate services on Kubernetes, collaborate on Helm charts and CI/CD, support production systems, and guide architectural decisions through ADRs. Work across PostgreSQL, object storage, identity providers, observability, and NoSQL systems while helping teams migrate from legacy infrastructure.