Top Artificial Intelligence Software Engineer Jobs

Lead AWS architecture across multiple projects, owning cloud solution design, infrastructure, security boundaries, data platforms, and AI integrations. Establish Infrastructure as Code and engineering standards, conduct code reviews, mentor developers, estimate work, and guide agile teams. Translate technical trade-offs into business value, document designs, assess deliverables before deployment, and support production-grade delivery using serverless, data, and machine learning technologies.

Build Belisar’s platform as a full-stack engineer, owning features from architecture through delivery. Develop React and TypeScript interfaces, Python/Django backends, PostgreSQL data systems, AWS infrastructure, CI/CD, data pipelines, and applied ML/LLM capabilities. Work directly with customers and the founding team in a 0-to-1 environment, make architecture decisions, translate ambiguous problems into technical plans, and ship production-ready software quickly.

Designs and develops scalable, high-performance software solutions from requirements through deployment. Responsibilities include end-to-end feature ownership, architecture, coding, testing, maintenance, code releases, automation, and Agile software engineering. The role requires backend and frontend development, cloud technologies, web technologies, distributed systems, microservices, Kafka, and collaboration to promote engineering excellence and customer satisfaction.

Develop Java-based applications using modern software engineering practices. Responsibilities include writing high-quality code, developing APIs, working with relational databases, applying object-oriented programming, collaborating with engineering teams, and supporting DevOps practices. The role offers mentorship and professional growth in an on-site or hybrid environment.

Build and operate backend APIs, services, integrations, and cloud infrastructure powering patient applications, clinical workflows, and AI agents. Integrate electronic medical records and healthcare systems, ensure security and reliability for sensitive patient data, and collaborate with product, clinical, and AI teams. The role includes architectural ownership, production operations, tooling improvements, and hiring or mentoring engineers in an early-stage startup.

Build data systems for autonomous vehicle development, including sensor-data ingestion, validation, processing, enrichment, dataset tooling, schema migrations, backfills, and workflow reliability. Collaborate with machine learning and vehicle software engineers to create datasets for model training, evaluation, and debugging. Investigate data quality and performance issues while improving autonomy data workflows.

Design, deliver, and operate scalable .NET Core backend services and APIs for an AI-driven advertising platform. Lead technical design, improve reliability and observability, conduct post-mortems, review code, mentor engineers, document architecture, and collaborate with Product and Engineering leadership. The role focuses on distributed systems, high-throughput workloads, partner integrations, performance, security, and platform growth.

Build and ship new products from zero to one across backend services, APIs, data pipelines, AI-driven workflows, and React front ends. Partner with customers to prototype solutions, design experiments, analyze results, and guide product direction. Establish technical architecture and reusable standards, then scale successful prototypes into production systems. Collaborate with product, platform, data, and operations teams while using AI tools throughout development.

Build and maintain Cohere’s public website using Next.js, TypeScript, and Tailwind. Develop polished, growth-focused pages, marketing features, CMS schemas, and content workflows with Sanity. Collaborate with engineers, designers, marketing, and content editors while improving site performance and reliability. Use AI coding tools responsibly and deliver production-quality code.

Build and optimize Circleback’s product-led growth loop across signup, onboarding, activation, retention, referrals, upgrades, and integrations. Develop analytics and experimentation infrastructure, including event instrumentation, attribution, dashboards, and A/B tests. Ship growth features across web, desktop, and mobile platforms while partnering with founders and marketing to identify and evaluate experiments.