Top Remote Senior Level Artificial Intelligence Software Engineer Jobs

Design, develop, deploy, and maintain scalable Java backend applications and microservices. Translate business requirements into technical designs, build RESTful APIs, integrate services, conduct code reviews, troubleshoot complex issues, and ensure software quality. Collaborate with cross-functional teams, identify project risks, participate in solution analysis, and mentor junior developers while supporting reliable, high-performance solutions.

Design, build, and scale backend services, APIs, and workflow systems supporting healthcare claims identification and recovery. Integrate AI/ML models, legal datasets, and transactional data while developing fault-tolerant Temporal workflows. Maintain AWS infrastructure and secure deployment pipelines using Python, TypeScript, PostgreSQL, Redis, and related technologies. Collaborate with product, business, and data science teams to deliver reliable, secure, high-performance systems in a regulated startup environment.

Develop custom Workday Extend applications and enterprise integrations across HCM, Payroll, Benefits, Talent, Compensation, Expense, and Absence Management. Lead technical architecture, requirements, specifications, field mappings, testing, deployment, and continuous improvement. Use Workday integration tools and web services to deliver scalable, reliable solutions while partnering with People Experience and IT stakeholders.

Own and evolve high-scale backend and data-layer services. Design, build, test, and operate distributed backend services and APIs, improve reliability/latency/scale, take end-to-end ownership from design through production support, participate in on-call and incident response, and mentor peers while partnering with Product and SRE teams.

Lead architecture and implementation of scalable web applications using NestJS and Next.js. Build and optimize PostgreSQL schemas and queries, implement responsive UIs with Tailwind CSS, integrate LangChain-driven AI features, manage authentication with Clerk, and create end-to-end tests and automation with Puppeteer to ensure launch readiness and reliable user experiences.

Lead the design and development of Python software solutions for commercial and government clients. Provide technical leadership, mentorship, code reviews, architectural guidance, and client collaboration while promoting Agile practices, secure coding, continuous improvement, and emerging technologies. Build solutions using Python frameworks, microservices, containers, cloud platforms, APIs, and diverse databases.

Designs, configures, implements, and tests HL7 interfaces for GE HealthCare Perinatal Systems. Integrates hospital IT systems, collaborates with customers and vendors on interface specifications, supports multiple concurrent projects, and improves integration tools and processes. The role requires HL7 and interface-engine expertise, networking and server experience, programming capabilities, and familiarity with healthcare integration standards, cloud platforms, and project management.

Lead the design and development of a scalable asynchronous replication engine for an AI data platform. Responsibilities include building multi-threaded replication pipelines, delta synchronization, secure TLS data transfer, integrity validation, failover workflows, REST APIs, metadata tracking, observability, and high-availability systems. The role also provides architectural leadership, mentorship, production troubleshooting, and collaboration with QA, security, backend, and platform teams.

Design and implement secure, reliable synchronization and networking systems for distributed AI across edge devices, cloud environments, and air-gapped government systems. Architect frameworks using content-addressable storage, Merkle trees, and CRDTs; optimize distributed software under resource constraints; apply threat modeling and cryptography; collaborate on restricted-system deployments; and maintain testing, observability, and compliance readiness. The role requires 25–50% travel to offices, government field sites, and test locations.

Own and evolve patient-facing clinical application surfaces, including a React widget, clinician portal, and Python service layer. Lead full-stack architecture, AI application integrations, encounter data flows, internal tooling, versioned shared components, and operational reliability. Partner with AI engineers on LLM-enabled workflows, maintain dependencies, protect consumers from breaking changes, and mentor junior engineers. The role requires durable ownership of rapidly built systems and delivery of critical healthcare technology.