Top Artificial Intelligence Software Engineer Jobs

Lead the IQ Platform engineering team and define the architecture and roadmap for Jasper’s AI context layer. Build scalable knowledge management systems, integrations, and RAG pipelines that improve agent intelligence and reliability. Serve as a player-coach by contributing code, mentoring engineers, partnering with Staff-level technical leaders, and driving major platform initiatives from strategy through delivery.

Build and operate reliability systems for a cardiovascular data platform, including monitoring, SLIs, SLOs, incident response, automation, and observability. Investigate end-to-end failures across devices, connectivity, mobile applications, firmware, and cloud services. Analyze fleet-level reliability using Python, SQL, and BigQuery; automate manual checks; conduct postmortems; and improve telemetry to ensure complete, trustworthy clinical data delivery.

Diagnose and resolve complex customer issues involving HERE data, APIs, SDKs, and applications. Build AI-powered troubleshooting tools and automation, convert recurring problems into reusable workflows, experiment with Generative AI, and share engineering practices across Technical Support. Requires strong programming, REST API, cloud, distributed systems, troubleshooting, and customer communication skills.

Lead and grow a 3–5-person engineering team while owning observability, evaluation frameworks, scalable integrations, and the customer-facing Copilot product. Contribute hands-on Python and TypeScript code, troubleshoot production issues, guide reliability and scalability efforts, partner with Product and engineering teams, remove blockers, mentor engineers, and support hiring.

Build and ship high-impact full-stack features using React, NodeJS, MongoDB, AWS, and Snowflake. Own vertically sliced functionality across the full software development lifecycle, including design, coding, testing, code review, deployment, API development, and production support. Collaborate with engineering, sales, stakeholders, and customers to prioritize product opportunities, incorporate feedback, and improve engineering processes and systems.

Build and operate backend-focused production software, APIs, integrations, databases, distributed systems, and asynchronous workflows. Develop AI-enabled and agentic systems with retrieval, tool use, evaluation, permissions, observability, and reliability controls. Own products from definition through iteration, collaborate with data engineering, data science, and SRE, make pragmatic technical tradeoffs, and mentor engineers.

Develop, test, maintain, and enhance internal enterprise applications and integrations. Build APIs, database queries, application logic, and user interfaces; support Odoo ERP and other business systems; troubleshoot issues; participate in code reviews, testing, sprint planning, and SDLC activities; and document applications and processes. Collaborate with engineers and business stakeholders to translate requirements into software solutions while developing secure, maintainable, and performant enterprise applications.

Lead architectural evolution of a high-traffic B2B SaaS supplier platform: define microservice boundaries, APIs, CI/CD, multi-cloud deployment, security, multi-tenancy, and mentor engineers while partnering with SRE, product, and business teams.

Build and ship end-to-end full-stack features across frontend, backend, APIs, databases, and cloud infrastructure. Develop AI-powered capabilities, integrate external services, optimize performance, write unit and integration tests, conduct code reviews, mentor junior engineers, and participate in production support. Collaborate with product, design, and engineering partners to define requirements, make architectural decisions, and deliver reliable, accessible user experiences.

Lead the Formula Engine team at Coda, overseeing technical direction, optimizing performance, and mentoring engineers to build robust computational systems.