Top Artificial Intelligence Software Engineer Jobs

Designs, implements, and deploys customer-specific technical solutions for complex financial workflows. Responsibilities include gathering requirements, designing architectures, building integrations, data pipelines, APIs, and application workflows, troubleshooting technical issues, and collaborating with product and engineering teams. The role combines coding, financial workflow analysis, customer communication, rapid prototyping, and identifying reusable product capabilities in a fast-moving startup environment.

Build end-to-end healthcare and financial data features across React and Next.js interfaces, API routes, and SQL queries. Create tables, charts, and exports for value-based care contracts, collaborate with product, design, and actuarial teams, and write tests and review code. The role requires strong TypeScript, Python, and React skills, production experience, and comfort working autonomously in a fast-paced startup environment.

Build and ship full-stack product features from concept through deployment. Partner with product managers and designers, translate customer needs into scalable technical solutions, make architecture decisions, collaborate cross-functionally, and improve features using data and feedback. Support deployments, system performance, testing, monitoring, and development efficiency while owning work across the full product lifecycle.

Engage directly with customer stakeholders, build and maintain systems supporting critical operations and onboarding, deliver reporting and insights, and lead platform improvements based on customer feedback. The role requires strong full-stack engineering, excellent communication, customer-facing comfort, and the ability to work effectively in ambiguous, fast-paced environments.

Senior full-stack engineer responsible for end-to-end web experiences: making architectural decisions, building UIs and APIs, maintaining web development best practices, collaborating across SDLC, and ensuring Microsoft-quality deliverables using Azure data services.

The Forward Deployed Engineer at Bretton AI will deploy AI agents, work with clients to integrate solutions, and resolve technical challenges.

Build full-stack product features across web UI, APIs, and backend systems; integrate and manage AI coding agents; design APIs and data models; ensure clean, tested, maintainable code; collaborate on developer-facing platform features and AI integration points.

As an Intelligence Engineer, you will architect reputation systems, deploy graph analytics, and develop probabilistic models to combat fraud. You will mine historical data to innovate and gather insights for identifying synthetic accounts.

Lead design and implementation of low-latency, multi-modal neuroscience research systems: instrument control, data acquisition, high-throughput pipelines, experiment UIs, and cloud infrastructure. Define technical roadmap, mentor engineers, and ensure production reliability and performance for large-scale neural data workflows.

Develop, integrate, and maintain mission-focused software and infrastructure for U.S. Army programs. Design APIs and data models, write modular platform-agnostic code following MOSA/ISA, apply Agile/DevOps/DevSecOps practices, support SDLC activities, configuration/change management, testing, documentation, and provide technical integration and troubleshooting for cross-functional teams.