Top Artificial Intelligence Software Engineer Jobs

Develop and maintain desktop, web, and service-oriented applications using Python, Django or Flask, and PostgreSQL. Responsibilities include designing software, building RESTful APIs, conducting code reviews, writing unit tests, estimating development effort, documenting implementations, and collaborating across multiple Agile Scrum projects using JIRA and Confluence.

Build and maintain customer-facing software, gather and incorporate feedback, and iterate quickly. Interns work on real projects with mentorship from senior engineers, contributing across technical architecture, design critique, and product construction. The internship emphasizes rapid learning, customer value, and increasing ownership, with potential consideration for a full-time offer.

Design, develop, test, and maintain reliable software using functional programming principles. Apply strong typing, domain modeling, and abstraction to solve complex engineering problems across backend, distributed systems, financial infrastructure, blockchain, and developer tooling. Collaborate with engineers and clients, contribute to architecture and technical decisions, investigate issues, review code, communicate trade-offs, and improve engineering practices.

Build and maintain backend product features using Python, Django, and relational databases. Develop APIs, asynchronous jobs, integrations, internal tools, and data-processing workflows while using and critically reviewing AI-generated code. Investigate incidents, resolve customer-impacting issues, improve reliability and database performance, and protect data integrity, security, tenant isolation, and auditability. Own work through testing, deployment verification, documentation, and follow-up while collaborating closely on a small engineering team.

Build the realtime, HIPAA-compliant messaging and collaboration frontend ('Pulse') that makes an AI colleague feel human. Implement complex interactive data visualizations, micro-interactions, and high-performance accessible interfaces. Work embedded with product and design, own UI quality, iterate on AI-driven specs, and deliver production frontend experiences clinicians will trust.

Build and improve ML and data pipelines, ship full-stack product features, and enhance Mac and Windows desktop applications. Work directly with enterprise customers to clarify requirements, deploy solutions, and turn customer learnings into repeatable product improvements. The role requires high ownership, rapid execution, strong engineering practices, and measurable customer outcomes across applied ML, AI systems, product, and infrastructure.

The Head of Engineering will drive technical direction, develop product architecture, and eventually lead the engineering team while coding and building AI systems.

Join as a founding engineer building backend systems for an ambient AI scribe for nursing homes. Work on audio capture, transcription, vocal biomarker integration, automated clinical workflows, and set engineering standards. Collaborate in-person with founders to shape product and culture.

Leads and mentors application engineers while designing Java and Spring Boot microservices. Oversees application modernization, VM-to-container migration, GCP and GKE deployments, Kubernetes troubleshooting, CI/CD, testing, database integration, observability, and distributed systems. Coordinates technical dependencies across a large application portfolio and collaborates with platform, DevOps, security, and architecture teams. Uses AI-assisted engineering tools to accelerate development, modernization, testing, documentation, and automation.

Leads a 10+ person engineering organization developing AI-powered revenue cycle management products for dental practices. Sets technical vision, architectural standards, engineering processes, staffing plans, and cross-functional priorities while supporting 0-to-1 product development and platform scaling. The role requires hands-on technical credibility, experience with LLM products, cloud infrastructure, full-stack development, agile practices, hiring, mentorship, and communication with senior leadership.