Top Artificial Intelligence Software Engineer Jobs

The Staff Engineer will design core systems, contribute to architecture, mentor engineers, and drive product development in AI-driven solutions.

Lead architecture, design, and implementation of the Magnet Platform. Define system-level, high- and low-level designs, enforce reusable patterns, and translate product requirements into architecture. Require deep experience developing Java application servers and enterprise platforms, coding in Java, and leading platform development for mobile integration. Cloud knowledge preferred.

Build high-quality user-facing experiences using TypeScript and React, influence frontend architecture and product design, own features end-to-end, collaborate with designers and AI experts, build libraries/SDKs/component systems, and debug backend issues when needed.

Hands-on engineer responsible for building and owning product features across the stack, designing and scaling cloud infrastructure, enabling secure interactions with AI platforms, shaping technical strategy and engineering culture, and iterating quickly in a startup environment.

Build production software and reusable AI-enabled products through customer-embedded delivery work. Develop prototypes into hardened, deployable products; define roadmaps, rollout plans, and adoption outcomes; contribute reusable capabilities to Mosaic; and maintain customer engagement after launch. The role requires strong Python and TypeScript skills, product judgment, communication, and comfort working in ambiguous environments with customer teams.

Leads and develops software engineers through mentorship, feedback, hiring, and career growth. Partners with product and design to deliver secure, scalable, reliable features; guides architecture and engineering best practices; improves processes, velocity, and execution; and translates customer and business needs into technical roadmaps. The role requires hands-on leadership in a high-growth startup environment and ownership of engineering culture, performance, reliability, and talent development.

Build and own Pepper’s regulated audit platform across internal auditor tools, client and partner portals, data models, integrations, security, and reliability. Develop end-to-end features using TypeScript, React, Node.js, PostgreSQL, and Supabase. Design secure multi-tenant data isolation, authentication, audit logging, evidence integrity, integrations, observability, CI/CD, and deployment workflows. Partner with founders, auditors, CPAs, engineers, and external partners in a high-autonomy environment.

Build production-ready AI software using leading model-based coding tools, create educational content (videos, threads, playbooks), and run customer workshops to teach operators and leaders how to use AI tools. Own the end-to-end cadence from build to content to customer enablement, staying current on new models and tooling.

The Lead Engineer for BI will design data solutions, lead project teams, mentor, and drive BI strategy aligning with business needs.

Lead the backend development for Artian's AI automation platform, focusing on scalable services, API design, and architectural decisions. Mentor engineers and enhance engineering practices in a collaborative environment.