Top Artificial Intelligence Software Engineer Jobs

Lead technical deployments of Percy, an agentic financial-crime compliance platform, for banks and fintechs. Configure and build customer-specific agents, integrate APIs and data pipelines, run historical-case backtests, debug cross-system issues, and guide customers through production rollout. Develop reusable implementation tooling, templates, and patterns while feeding customer insights back into product development. Serve as the primary technical customer contact and partner with core engineering on complex fixes.

Own product experiences from concept through production, including user flows, prototypes, polished frontend interfaces, and reusable UI patterns. Simplify complex wholesale workflows, design interactions for AI agents, work directly with customers, and incorporate user feedback. The role requires strong UI/UX judgment, frontend engineering ability, systems thinking, and initiative in a fast-growing startup environment.

Build the foundational inference cloud platform, including its control plane, API, serving layer, routing, model placement, scheduling, reliability, and observability. The role involves scaling a heterogeneous GPU and ASIC fleet, partnering with data center and model deployment teams, and shaping platform architecture as an early individual contributor at a small startup.

Build scalable backend infrastructure and core product systems for an AI revenue engine. Connect complex customer data sources and create reliable foundations for autonomous quoting, data enrichment, and revenue workflows in production.

Work directly with founders and platform developers to solve enterprise customer problems rapidly. Responsibilities include decomposing customer challenges, designing paradigms that advance the company’s supply-chain ontology, and rethinking data flows across customer systems. The role requires full-stack production experience, modern web development skills, AI-native development proficiency, and comfort working with enterprise customers and executives.

Lead architecture and production deployment of AI platforms across cloud and on-premises environments. Partner with enterprise architects, shape product strategy, resolve critical production issues, and implement scalable platform capabilities. Drive cross-functional alignment across Product, Engineering, DevOps, Security, ML, Customer Success, and Forward Deployed Engineering. Mentor senior engineers and improve deployment efficiency, reliability, security, observability, and scalability.

Ode with Anthropic is recruiting existing teams of 2–5 engineers to join together and build applied AI products for enterprise clients. Teams participate in a shared interview process, receive simultaneous offers, and are staffed together on an initial engagement. Candidates should have experience building complex AI systems, applying strong software engineering practices, and deploying production-ready products. Common individual roles include Software Engineer, Senior or Staff Software Engineer, and Forward Deployed Product Manager.

Own customer deployments from technical scoping through implementation. Build deployment tooling, replay and evaluation systems, configurations, and customer-stack integrations. Collaborate with agent engineers by reproducing issues and proposing fixes, join customer calls, lead technical discussions, and turn deployment learnings into reusable playbooks.

Build and ship React and TypeScript interfaces for a Chrome extension and web apps, partnering on UI/UX, accessibility, performance, data models, APIs, and AI-generated scaffold quality. Contribute to Node.js and MongoDB systems, expand compatibility across educational platforms and documents, and support privacy, security, reliability, and product decisions on a small startup team.

Build and ship end-to-end software features across the stack, taking workflows to production and solving real-world problems at scale. Interns will work with technologies including React, React Native, TypeScript, Python, Node.js, PostgreSQL, and cloud infrastructure. The role emphasizes rapid iteration, code quality, customer empathy, communication, and contributing to AI-powered software for offline sales organizations. This is an in-office NYC position requiring intensive collaboration and customer interaction.