Top Artificial Intelligence Software Engineer Jobs

Build and ship end-to-end product features across Rails, React, and Python. Lead execution cadence, unblock teammates, manage scope, and drive releases. Use generative AI tools for development while maintaining quality. Partner with product, design, and GTM teams to turn customer feedback into improvements. Own product areas, improve reliability and performance, and iterate rapidly based on customer usage.

Lead on-site and remote software engineers, own software architecture, and coordinate development across embedded systems, robotics software, and supporting applications. Ensure code quality, testing, documentation, scalability, and hardware-software integration. Identify technical risks, troubleshoot complex systems, plan delivery priorities, mentor engineers, and support debugging during development and field testing in a robotics and UAV environment.

Provides L2 technical support for a B2B SaaS platform by investigating escalated issues, reproducing problems, shipping bug fixes, and supporting L1 representatives. The role partners with Engineering, Product, Customer Success, and senior engineers, identifies recurring issues, improves visibility through metrics, documents findings, and writes knowledge-base content. The position works remotely on a 3 PM–11 PM ET weekday shift with alternating Saturday on-call coverage.

Build scalable software infrastructure for electrical, thermal, and electromagnetic simulations. Develop automated pipelines, distributed execution, parameter sweeps, solver integrations, quality checks, provenance tracking, and reproducible dataset workflows. Optimize simulation throughput, cost, and reliability while collaborating with machine learning and hardware teams to validate results and generate training data.

Build custom software solutions for enterprise customers, present technical solutions to stakeholders, scope RFPs, and partner with Sales, Customer Success, and Account Management to close and expand deals. Translate customer needs into product specifications, determine when to build custom solutions versus core product features, and deliver production-grade implementations under commercial timelines.

Leads Covera Health’s approximately 30-person Engineering, AI, and Platform/IT organization. Owns architecture, engineering standards, technical execution, reliability, security, data platforms, and production systems while partnering with the CPTO on strategy. The role requires hands-on technical leadership, development of engineering managers, cross-functional collaboration, recruitment and retention, and oversight of scalable healthcare data and AI platforms. The leader will remain involved in architecture reviews, technical decisions, complex data challenges, and critical production incidents.

Own and lead backend products from architecture through production operation. Design high-traffic APIs and microservices, improve application and database performance, build real-time distributed data services, and enhance reliability, observability, automation, Kubernetes workloads, and cloud efficiency. Review code, establish engineering standards, coordinate dependencies, communicate tradeoffs, and drive ambiguous technical initiatives through rollout.

Build developer tools and research infrastructure that accelerate engineering and AI research. Responsibilities include improving coding agents for development, testing, and code review; creating better development environments, faster tests, and reliable deployment workflows; and building a platform for launching experiments, comparing results, and guiding future research.

Build and deploy customer-specific software solutions, including data integrations, APIs, applications, business logic, and AI-enabled workflows. Partner directly with customers to scope problems, validate solutions, and ensure adoption. Own software reliability, testing, deployment, monitoring, documentation, and ongoing support while identifying reusable patterns with Product and Engineering. The role combines hands-on software engineering, customer engagement, and travel to manufacturing clients.

Own CodeRabbit’s agentic GTM Systems engineering harness and architecture. Build Salesforce solutions, full-stack internal tools, agents, and integrations spanning CRM, billing, CPQ, provisioning, data warehouses, and reverse ETL. Establish engineering standards for Business Systems, including testing, CI, deployment, security, reviews, and runbooks. Partner with Finance, GTM, Deal Desk, and Data teams to deliver scalable systems while mentoring engineers and analysts and reducing reliance on consultants.