Top Artificial Intelligence Software Engineer Jobs

Leads Cartesia’s Product Engineering team as a hands-on technical and people manager. Responsibilities include contributing to product and architectural work, coaching and hiring engineers, partnering with Product and Design, improving execution cadence, reviewing designs and code, and owning cross-cutting surfaces such as billing, files, and on-call operations. The role initially supports the Voices product squad and helps scale the engineering organization while building voice AI experiences.

Build and operate full-stack, cloud-native applications for network automation and mission platforms using Python, Go, JavaScript, and TypeScript. Develop APIs, AI agents, generative user interfaces, integrations, and telemetry workflows. Contribute to CI/CD, Infrastructure as Code, containerized deployments, production troubleshooting, security, observability, and architecture. Collaborate across software, cloud, platform, product, and security teams in an ambiguous, mission-focused environment.

Design, build, and operate payment services for card processing, refunds, reconciliation, and processor integrations. Develop scalable Kotlin and Java Spring Boot APIs, optimize PostgreSQL schemas and SQL, and implement idempotency, retries, webhooks, audit trails, and reconciliation. Respond to payment incidents, conduct root cause analysis, collaborate cross-functionally, review architecture and code, and mentor engineers. The role requires strong distributed-systems, payments, PCI DSS, debugging, and production operations experience.

Designs, develops, tests, and implements Guidewire solutions supporting insurance operations. Collaborates with business stakeholders, analysts, and developers to deliver high-quality implementations meeting business requirements. Requires expertise in Guidewire architecture, data models, APIs, integrations, web services, Java, SQL, and XML. Preferred experience includes Guidewire Cloud, reporting, insurance processes, Agile methodologies, certification, and DevOps tools.

Build and maintain a React/TypeScript operations portal and Supabase/PostgreSQL backend for autonomous aircraft medical logistics. Improve aircraft allocation, mission generation, telemetry ingestion, live dashboards, reliability, testing, logging, and observability. Integrate Python services with ArduPilot aircraft and simulations while collaborating with autonomy and simulation engineers to mature real-flight and digital-twin systems.

Own the company’s financial systems platform, including technical direction, architecture, delivery, quality, and engineering team leadership. Build integrations with ERPs, accounting platforms, banks, payment providers, files, and APIs. Lead high-volume backend projects using TypeScript, Temporal, and Postgres; establish monitoring and control planes; mentor engineers; and work directly with enterprise customers, GTM, and founders. The role also involves building AI agents and tooling to accelerate software development.

Build and maintain full-stack acquisition, signup, onboarding, activation, and early-engagement experiences. Ship and analyze A/B and multivariate experiments, instrument funnels and activation milestones, improve conversion-critical reliability, and develop frontend, backend, API, and analytics integrations. Partner with product, design, data, and marketing to turn growth hypotheses into durable product improvements. Use AI-assisted development tools while validating code quality and production readiness.

Build and operate shared platforms, developer tooling, cloud infrastructure, and AI infrastructure for Moloco Ads. Design scalable, reliable, secure systems; improve engineering productivity, observability, performance, and cost efficiency; establish infrastructure guardrails; lead projects end to end; collaborate across teams; enable safe AI workload deployment; and mentor engineers.

Build and ship software engineering projects from design through production rollout. Develop AI-powered features supporting chronic care workflows, collaborate with engineering and clinical partners, write maintainable and testable code, and apply software development practices to reliable cloud-based systems. Test, monitor, and iterate using production feedback, with emphasis on patient impact and human judgment.

Design and prototype AI agent systems, agentic workflows, BI and ML pipelines, and enterprise data solutions for strategic customers. Translate governance needs into technical roadmaps, deliver measurable business value, create reusable implementation accelerators, and provide technical guidance to customers and junior engineers. Collaborate with Deployment Strategists, Account Executives, Product, Engineering, and GTM teams to improve Alation’s platform and customer outcomes.