Top Artificial Intelligence Software Engineer Jobs

Design, develop, test, enhance, debug, deploy, and maintain custom applications in a regulated, mission-critical environment. Collaborate with business analysts, stakeholders, and IT teams to gather requirements, write documented code, participate in reviews, resolve defects, and support post-release maintenance. Ensure applications meet security, performance, and compliance standards while supporting enterprise-level systems.

Leads and mentors engineering teams, sets technical direction, manages engineering metrics, and drives reliable software delivery. Partners with product, design, and business stakeholders on scalable healthcare platform solutions. Establishes development, testing, code review, and CI/CD best practices while hiring and developing engineers. The role also addresses complex technical challenges, fosters cross-team collaboration, and promotes continuous improvement and engineering excellence.

Build and deploy customer-specific integrations, configurations, APIs, data pipelines, and compliance solutions for strategic fintech customers. Translate customer needs into technical requirements, troubleshoot production issues, integrate third-party identity and compliance vendors, and turn one-off solutions into reusable tools and documentation. Collaborate with product and engineering teams to shape the roadmap. The role requires backend development, cloud deployment, customer-facing communication, and Spanish fluency.

Full-stack engineers will develop features for a system used by radiologists, focusing on low-latency WebSocket workflows and UI/UX design.

Own customer integrations for AI agent evaluations from scoping through delivery. Read API documentation, manage credentials, build custom integrations, run evaluations, assess AIUC-1 compliance, communicate technical results, and surface failure modes. Collaborate with customers, sales, delivery, standards, and core engineering teams while turning recurring field solutions into reusable product capabilities.

Build and own end-to-end software components for an AI-native banking platform, from architecture and implementation through deployment, observability, testing, and maintenance. Collaborate with customers and product managers, make pragmatic technical trade-offs, conduct code reviews, share best practices, and support team delivery. The role emphasizes reliable web application development, production SaaS experience, scalability, and operational resilience in a high-intensity startup environment.

Join a product engineering team building a modern accounting and finance platform. Solve data ingestion, transformation, matching, projection, and reporting problems; design abstractions, collaborate on product decisions, and deliver high-quality software in a complex domain.

Build a new Physical AI product line spanning edge devices, cloud infrastructure, and user-facing safety tools. Own real-time ingestion, multi-tenant access control, dashboards, compliance analytics, operator coaching workflows, and AI agent features. Work directly with customers, run pilots, ship rapidly, and measure product usage. The role requires broad full-stack range across backend, cloud infrastructure, DevOps, frontend, and real-time data experiences.

Build, deploy, and operate production software for enterprise logistics customers. The role involves developing core delivery orchestration infrastructure, integrating APIs and platforms, debugging fleet and logistics workflows, taking products from concept through deployment, and collaborating directly with customer engineering, operations, and executive teams. The engineer will also partner with product and AI teams to shape the company’s North American engineering strategy.

Build and maintain full-stack web applications and platform capabilities end to end. Design APIs, relational database schemas, and distributed systems with strong observability and monitoring. Partner with product stakeholders, participate in code and design reviews, mentor engineers, and raise engineering standards. The role requires onsite work in Chicago and involves developing telematics technology for trailer safety, cargo security, and transportation visibility.