Top Artificial Intelligence Software Engineer Jobs

Build and operate backend platform services using Kotlin and the JVM. Design APIs, data models, integrations, event-driven workflows, and AI runtime capabilities. Incrementally improve architecture, reliability, observability, security, testing, deployment, and performance while partnering with SRE. Support communications or billing workflows and provide technical leadership through architecture decisions, documentation, code reviews, and collaboration.

Build and maintain end-to-end products across mobile, web, and backend systems. Responsibilities include developing scalable APIs, inventory and reorder models, hardware integrations, customer-facing features, system documentation, and resilient infrastructure. The engineer will independently make product decisions, engage directly with users, provide frontline support, and drive engineering excellence across a broad technology stack.

Leads architecture and development of performant React web applications, coordinates cross-functional integration, mentors developers, and drives technical direction. Maintains code quality through unit, integration, and automated testing, participates in Agile ceremonies, translates requirements into coding tasks, and collaborates with Product and project teams. The role requires extensive front-end development, React, front-end architecture, JavaScript, TypeScript, and enterprise application experience.

Build and deploy full-stack AI product features spanning customer interfaces, backend microservices, and database schemas. Establish engineering standards for code, testing, deployment, and developer tooling. Collaborate closely with the team and customers, gather feedback, document technical decisions, and balance rapid delivery with scalable infrastructure. The role also involves using LLMs, coding agents, prompts, and evaluations to improve development and product capabilities.

Create and optimize high-quality, mobile-optimized character shaders and material workflows in Unity URP. Develop master materials, tools, and editor extensions (C#). Profile and debug performance on iOS/Android, collaborate with artists on look development, and ensure efficient rendering across mobile devices.

Build and scale the infrastructure layer for Vision-Language Models: own VLM inference stack (GPU serving, latency/cost), design multimodal developer APIs, ensure reliability and observability, implement backend systems and scalable data pipelines, and drive production-grade developer experience and testing discipline.

Design, architect, and ship reliable Flutter mobile applications used by delivery partners and logistics teams. Own solutions from operational problem discovery through adoption, including offline functionality, scanning, location tracking, backend integrations, and release quality. Work across the stack, apply AI capabilities, collaborate with operations and engineering teams, and mentor teammates while setting mobile technical direction and standards.

Build scalable data foundations and personalization systems for AI agents. Responsibilities include real-time eventing, streaming and batch ETL, Iceberg lakehouse infrastructure, OLAP querying, orchestration, experimentation, long-term agent memory, customer data platform primitives, analytics products, and optimization loops. The role may focus on platform engineering or full-stack product engineering, including ML-powered personalization and data visualization.

Build end-to-end features in a JS/TS stack, designing scalable backend services and responsive real-time frontends. Improve observability, performance, and reliability, collaborate with product/design, and own full-stack implementation from APIs and data models to UI.

The Integration Engineer will design and maintain healthcare data integrations, collaborating with teams to optimize performance and improve reliability using Python and various standards.