Top Artificial Intelligence Software Engineer Jobs

Develop and optimize machine learning models for autonomous vehicles, focusing on ML model deployment and performance across various compute platforms.

Lead a team of engineers to develop AI-driven solutions for digital marketing, ensuring high quality and scalability, while mentoring team members.

The Principal Engineer will lead solutions engineering efforts, define technical direction, enhance products, and mentor engineers to drive strategic growth and innovation.

Lead development and maintenance of scalable backend and data systems for personalized messaging at scale. Partner with data scientists/ML engineers, optimize real-time and batch pipelines, improve experimentation and feedback loops, ensure reliability through best practices and on-call support, and ship high-performance, data-driven features.

Develop and maintain XNAT platform functionality for clinical and research imaging: design and implement features, write and test code (Java, JavaScript, Python), manage releases and CI/CD, triage defects, mentor junior engineers, integrate with adjacent systems (DICOM, JupyterHub, data lakes), and document architecture and upgrade procedures.

Design and build GovWell's payments and ledger infrastructure: create a fully auditable, mathematically consistent ledger, precise fee-calculation system, and robust handling for partial payments, deposits, refunds, and payment processor integrations. Own migration from legacy payments to the new system, partner with finance and municipal staff, and set technical standards for the platform.

Own and improve core backend systems and infrastructure: build reliable, scalable services, improve observability and CI/CD, operate production systems, design APIs and data layers, lead technical decisions, mentor engineers, and partner with product to ship end-to-end features.

Build and ship customer-facing visibility features (events, audit logs, timelines, notifications, analytics) for Together's Cloud. Partner with Data Platform and Observability teams to implement data collection and processing, own scoped backend work end-to-end, write well-tested backend and product code, and maintain data freshness, completeness, and correctness for trustworthy customer insights.

Design, build, and scale backend services, APIs, and orchestration workflows for claims identification and recovery. Integrate AI/ML models, manage cloud infrastructure (AWS), and implement durable workflows (Temporal) while ensuring secure, reliable, maintainable systems. Collaborate with product, data science, and business stakeholders to deliver production-grade solutions.

Build and own end-to-end features across gateway infrastructure, enterprise deployments, and agentic systems. Work spans backend and infra, connectors, security-sensitive surfaces, architecture, product decisions, and occasional UI fixes. Ship quickly, harden enterprise paths, and collaborate directly with founders and customers.

Build and maintain full-stack systems: applicant portals, case management, backend APIs, event pipelines, and AI agent workflows. Design scalable task orchestration, improve backend architecture and scheduled jobs, and deliver polished, fast UIs for internal legal-ops and customers. Lead end-to-end projects across frontend and backend, and ship production-ready features.

Own and evolve Lighthouse's backend: improve performance, reliability, and scalability; design agentic LLM-powered workflows; harden security and environment isolation; scale the GraphQL API; build data pipelines and integrations; and strengthen document ingestion and generation pipelines for legal outputs.