Top AI Engineer Jobs

Build end-to-end product features for an AI-native assistant: design polished UI/UX, implement backend plumbing, and ship LLM-powered experiences across web, desktop, and mobile. Work on suggestion engines, workflow builders, team-shared automation surfaces, and trusted agent interactions. Be a foundational full‑stack hire influencing product direction and delivering a fast, delightful experience.

Lead architecture and implementation of agentic AI systems powering Zuma's platform. Rebuild onboarding and integration frameworks, implement analytics and observability for LLM performance, translate product needs into technical solutions, mentor engineers, establish engineering standards, and work directly with customers to enable scalable, production-grade AI experiences.

Lead end-to-end development and production deployment of agentic AI systems and full-stack products. Architect integrations with property management systems, improve reliability and observability, define engineering standards, and partner with product and operations to ship scalable AI agents across voice, text, and email.

Lead full stack initiatives at Materia AI, developing AI-powered software for accounting with a focus on building user-centric applications and robust back-end systems.

As a Generative AI & Machine Learning Engineer, you'll manage AI/ML product development, support model lifecycle, and ensure solutions meet customer needs, fostering collaboration and innovation.

The Senior Software Engineer will build AI-driven backend systems for accounting, develop robust services, and collaborate with cross-functional teams.

In this role, you will lead the AI engineering lifecycle for Snowflake Database Engineering products, enhancing workflows and collaborating to address customer needs.

As a Forward Deployed Engineer, you'll partner with pharma and biotech teams to convert scientific workflows into AI-powered systems, ensuring accuracy and reliability in implementation. You'll oversee customer accounts, drive the implementation lifecycle, and collaborate with product and engineering teams to optimize AI applications.

As a Founding Engineer, you will build core AI systems for software quality assurance, design automation components, and define architecture alongside the founders.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

As a Founding Product Engineer at Spur, you'll design, code, test, and deploy end-to-end features, gathering user feedback to drive product improvements and iterating quickly across teams.

You will design and develop machine learning systems for an AI-driven dating platform, focusing on personalized matching algorithms and natural language interactions.

Architect and own backend systems for AI-driven property risk intelligence. Design APIs, data pipelines, and ensure system reliability.

As a Founding Engineer at Baton AI, you'll design and build key systems for our AI automation platform, working with cutting-edge tech and collaborating closely with customers.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

As an AI Engineer, you'll develop AI-powered systems that allow human-machine interaction through voice, focusing on data-driven insights and real-world audio processing.

As an AI Research Engineer, you'll focus on enhancing AI quality, improving models and orchestration, and solving complex AI problems in healthcare billing.

As a Platform Engineer, you will enhance reliability and performance, design operational processes, and build monitoring systems while collaborating with a talented team.

Join a passionate team to enhance reliability and performance of the AI control plane, manage deployments, and respond to production incidents while ensuring service quality for customers.

The role involves owning product decisions, collaborating on AI control products, and ensuring secure access while improving user experiences across the stack.

The Software Engineer will design and build foundational AI systems, focusing on context management and model integration for Harvey's products, while collaborating with product teams.

Own end-to-end customer deployments of applied AI agents: scope integrations, configure and tune playbook/signals/automation/voice agents, run demos and trainings, partner with account executives, and drive product feedback and expansion across enterprise customers.

Develop scalable cloud infrastructure and robust software solutions for AI/ML, collaborating with engineers and scientists to enhance scientific research.

As a Software Engineer, Applied AI, you'll architect and implement integrations and scalable solutions for enterprise clients, focusing on technical requirements and business goals.

Lead design, build, and scale full-stack features for the Insights practice management platform using React, Python, and PostgreSQL. Improve reliability, observability, performance, and availability. Collaborate with infra and backend teams, mentor engineers, conduct code reviews, and drive architectural improvements while delivering high-impact projects aligned with product and design.