Top Remote Senior Level Artificial Intelligence Software Engineer Jobs

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.

As a Senior AI Product Engineer, you will build scalable services and front-end applications, design APIs, and enhance AI product offerings, focusing on improving user experience and collaboration with engineering teams.

As a Software Engineer in AI Infrastructure, you will design and develop core platform components, build APIs and services, enhance performance, and automate tooling while collaborating across teams and improving system reliability.

Build and scale AI-first internal tools, including document parsing engines, Slack applications, workflow utilities, and LLM evaluation systems. Develop automated testing and benchmarking for non-deterministic AI outputs, integrate LLM APIs, and partner with Finance, Legal, Customer Success, and Revenue Operations teams. Establish best practices for AI-assisted software development while delivering maintainable, secure, reliable full-stack solutions.

Lead delivery across product, engineering, and QA for a distributed parking technology platform. Remain hands-on while improving system reliability, API architecture, integrations, CI/CD, testing, observability, and event-driven infrastructure. Partner with the AI team, sequence the roadmap, manage tradeoffs, and hire and develop engineers. Own production quality, incident response, scalability, and the evolution of partner-facing APIs serving booking channels and access-control systems.

Remote Senior Software Engineer who evaluates Microsoft and complementary technologies, designs and implements custom software (C#, JavaScript, SQL), applies cloud and DevOps practices (Azure/AWS, CI/CD, containers), mentors and networks professionally, and continuously learns and advises clients.

Build hands-on technical learning content (labs, tutorials, workshops, demos, reference implementations) using Cursor to enable developer adoption; lead workshops; partner with Product, Engineering, DevRel, and Field teams; measure adoption and improve educational formats.

Lead implementation and integration of DFT features (scan, MBIST, BISR, boundary scan), develop reusable DFT IP and ATPG patterns, perform post-silicon debug and root-cause analysis, collaborate across physical design and validation teams, and drive manufacturing test readiness and production qualification for ASIC designs.

Lead technical direction and architecture for a software team, write production code, mentor engineers through reviews and pairing, partner with product to align roadmap and technical plans, resolve technical risk and tech debt, and establish engineering standards and tooling.

The Technical Lead will own technical success, drive architecture decisions, mentor engineers, ensure quality, and engage stakeholders for software delivery projects.