Top Artificial Intelligence Software Engineer Jobs

Design, develop, deploy, and maintain scalable Java backend applications and microservices. Translate business requirements into technical designs, build RESTful APIs, integrate services, conduct code reviews, troubleshoot complex issues, and ensure software quality. Collaborate with cross-functional teams, identify project risks, participate in solution analysis, and mentor junior developers while supporting reliable, high-performance solutions.

Build and ship production software at the intersection of engineering, product, and customers. Translate real-world real estate and finance problems into technical solutions, work directly with founders and enterprise customers, and develop systems involving APIs, unstructured data, AI/LLMs, and customer-facing interfaces. The role offers high ownership, direct customer exposure, and responsibility for products supporting real estate developers and lenders.

Set the technical direction for data visualization, translate strategy into shipped features, and build high-quality frontend visualization components and supporting data pipelines. Partner with product and engineering teams, improve visualization performance, mentor engineers, and iterate rapidly based on customer feedback. The role requires strong TypeScript or JavaScript skills, deep data visualization experience, familiarity with analytics tools, and proficiency with AI coding workflows.

Design, build, test, deploy, and scale full-stack SaaS features across Angular and backend services using Spring. Develop APIs, optimize relational and NoSQL databases, integrate third-party systems, improve performance, support cloud infrastructure and CI/CD, implement security practices, monitor services, resolve incidents, and contribute to architecture and agile development.

Build interactive experiences across the company website, product, and special projects. Prototype ideas, refine interactions and motion, create visual essays and data visualizations, and develop responsive, accessible, performant websites. Collaborate with designers, marketers, and engineers from concept through production while creating reusable components and patterns. The role requires strong design instincts, frontend development ability, attention to typography and interaction details, and comfort with modern frontend and animation libraries.

The Simulation Engineer will design AI-enabled platforms for numerical simulations, drive technical architecture, and enhance usability in simulations without extensive training.

Embeds with enterprise partners to understand workflows, identify automation opportunities, and build production systems end to end. Responsibilities include developing backend services, integrations, data pipelines, and operator interfaces; connecting ERP, CRM, warehouse, and legacy systems; managing reliability, observability, and performance; and working directly with senior business leaders. The role also contributes reusable tooling and patterns while deploying AI and automation solutions in real-world business environments.

As a Founding Engineer, you will own major product surfaces and contribute to AI search technology development at Petra Labs.

Develop and support full-stack applications across web, iOS, Android, and Linux platforms. Build real-time mapping and image-processing solutions, implement front-end components, REST back-end services, and database schemas, and maintain third-party dependencies. Collaborate with product and engineering teams in an Agile environment to deliver reliable software milestones. The role also provides technical support for field applications and requires occasional travel to field offices and testing areas.

Lead backend software engineering role focused on architecting and scaling data infrastructure, core platforms, backend services, APIs, and production workloads. Responsibilities include hands-on coding, technical roadmap development, architectural standards, reliability and security, mentoring engineers, and collaboration with product and engineering leadership. Requires expertise in TypeScript, Node.js and/or Python, APIs, data pipelines, databases, cloud platforms, CI/CD, observability, and production operations.