Top Artificial Intelligence Software Engineer Jobs

Build and own Placer.ai’s first consumer mobile apps across Android and iOS, including scalable backend services, onboarding, consent and privacy flows, analytics, experimentation, fraud controls, and production reliability. Take the product from prototype through launch and growth, manage app-store submissions, integrate data collection technology, use AI-first development practices, and help hire and mentor the growing engineering team.

Build and improve HUD’s platform and marketplace for RL training data and evaluations. The Product Engineer will identify user friction, define priorities, design prototypes, and ship full-stack product experiences. Responsibilities include improving agent-run and evaluation workflows, building frontend and backend functionality for onboarding and environment submission, and using user feedback and product signals to iterate. The role requires close collaboration with product, design, engineering, research, and go-to-market teams.

Lead full-stack software development across frontend and backend systems, delivering user-facing healthcare features from concept through iteration. Design APIs and application architecture, write technical specifications, improve testing and CI practices, collaborate with product, AI/ML, clinical, and UX teams, and guide cross-team technical decisions. The role involves React, Python, cloud infrastructure, databases, asynchronous workflows, and healthcare data technologies.

Own end-to-end technical delivery for strategic customers, including architecture, SQL development, streaming pipelines, integrations, migrations, production cutovers, and system hardening. Build real-time data solutions using Materialize, Kafka, CDC, cloud infrastructure, and modern data platforms. Support customer engineering teams, create reusable implementation patterns, advise on architecture and scaling, and provide product feedback. The role is based in NYC with hybrid attendance and significant customer travel.

Lead the development of Ello’s growth-engineering function and ship end-to-end features across mobile, web, backend, and lifecycle channels. Identify growth opportunities, run experiments, define metrics, improve acquisition and retention journeys, and build analytics and experimentation systems. Collaborate across product, design, marketing, and engineering while using quantitative and qualitative insights to drive measurable user and business outcomes.

Build performant, accessible front-end interfaces for AI agents, dashboards, conversational user interfaces, and visualization tools. Collaborate with designers, AI engineers, and backend developers to create scalable components, optimize cross-browser experiences, and iterate on UX using testing, feedback, and usage data.

Lead the architecture and development of secure, scalable microservices and software components. Build CI/CD automation, automated testing strategies, and performance monitoring solutions. Provide technical leadership in privacy, security, cryptography, and distributed systems while collaborating across teams and communicating complex technical concepts. Drive continuous improvement and integrate Web3 and privacy-preserving technologies into innovative products.

Build and ship full-stack platform features for a real estate technology product. Responsibilities include developing backend and frontend functionality, designing database schemas for large geospatial datasets, writing production-quality code, deploying through CI/CD pipelines, collaborating cross-functionally, using AI development tools, participating in code reviews and architecture discussions, and joining the on-call rotation.

Software Engineering Interns contribute to production TypeScript backend features, applied AI and computer vision pipelines, and end-to-end deployments to active mining sites. Responsibilities include using LLMs, AWS Rekognition, TensorFlow, Kubernetes, and CI/CD; translating user challenges into product features; and collaborating closely with senior engineers and leadership. The role is fully remote and emphasizes ownership, autonomy, and shipping real-world software.

Build and improve a full-stack product that enables customers to manage AI agent workflows, including exception queues, reconciliation reviews, approvals, reporting, APIs, and agent SDK tools. The role involves frontend and backend development, real-time interfaces, workflow reliability, traceability, customer feedback, and polished user experiences. Engineers work in person with customers and a small founding team to shape product direction and solve ambiguous technical problems.