Top Artificial Intelligence Software Engineer Jobs

Build Doowii’s conversational analytics platform across frontend, backend, data interaction, and infrastructure. Responsibilities include creating data-query interfaces, developing APIs, integrating AI-driven features, optimizing query and storage performance, managing AWS and GCP systems, designing data models, and maintaining ingestion pipelines involving NiFi, Kafka, Iceberg, and BigQuery. The role also involves model evaluation, schema evolution, change data capture, high-throughput streaming, automation, and rapid startup iteration.

Develop and maintain enterprise full-stack applications using Java, Spring Boot, Hibernate, ReactJS, JavaScript, databases, and web services. Coordinate on-site delivery, offshore engineering teams, sprint goals, technical handoffs, code reviews, CI/CD pipelines, testing, source control, and production troubleshooting across time zones.

Software Engineer Intern building production AI-agent systems for insurance workflows. Responsibilities include developing across the stack, working on real-time voice infrastructure and insurance-platform integrations, optimizing live systems, owning features end-to-end, and contributing to product and technical decisions. The role uses TypeScript, React, and Node.js and offers hands-on exposure to real-time systems, AI platforms, and telephony.

Hamilton AI seeks a Full-Stack Engineer to enhance its business aviation platform, focusing on AI agents, web application development, and integrating flight management systems.

Lead the technical architecture and governance of an enterprise Automation Center of Excellence using UiPath Maestro, RPA, AI agents, and enterprise systems. Establish engineering standards, provide hands-on technical leadership, oversee platform operations and releases, define automation guardrails, and ensure security, compliance, auditability, and access control. Collaborate with security, ERP, and business stakeholders while supporting data integration, reporting, and automation through Microsoft SQL Server, SSIS, SSRS, and stored procedures.

Owns day-to-day database operations and backup/recovery for a large multi-account AWS environment. Maintains RDS, Aurora, and self-managed databases, validates backup restoration, executes disaster-recovery runbooks, and collaborates with infrastructure, security, Kubernetes, networking, and cloud architecture teams. Supports escalations from a 24x7 monitoring team and helps advance managed services and Cloud Center of Excellence capabilities.

Own developer productivity across a large monorepo and the path to production. Improve build, test, deployment, and coverage workflows; enable teams to ship safely and quickly; support multi-cloud and multi-region expansion; and strengthen operational excellence. The role requires delivering framework-level improvements across teams while contributing to backend feature code and working directly with customers on complex scaling challenges.

Build and scale a consumer healthcare web application using Next.js, React, and TypeScript. Own major product surfaces including search, scheduling, provider profiles, and checkout. Collaborate with design and cross-functional stakeholders to deliver polished, accessible, high-performance experiences. Make frontend architecture decisions, optimize performance, test features, work with Rails APIs and healthcare integrations, and contribute across the stack through product requirements, SQL analysis, and QA.

Build and own infrastructure platforms, tooling, APIs, SDKs, and customer-facing applications that support large-scale humanoid robot deployments. Lead projects from design through rollout, shape architecture across teams, operate reliable backend systems, and improve testing, documentation, and engineering practices. Partner with research, robotics, and deployment teams while advancing AI-assisted development tooling.

Build and maintain production software implementing healthcare interoperability standards, including FHIR and HL7. Develop APIs, services, data pipelines, validation logic, data models, and automated tests while preserving clinical meaning and data quality. Collaborate with engineers, data scientists, healthcare professionals, product managers, and operations staff to deliver scalable healthcare solutions.