Top AI Engineer Jobs

Lead design, build, and deployment of AI-enabled analytics using Microsoft AI technologies and cloud data platforms. Develop AI assistants, copilots, RAG and agentic workflows, integrate solutions with Power BI and semantic models, prototype and productionize with Python and SQL, implement governance and observability, and partner with BI, data engineering, and business stakeholders to scale enterprise AI use cases.

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.

Build and ship full‑stack, LLM-powered product features (tutoring agents, copilots, dashboards, retrieval and evals). Own smaller systems end‑to‑end, use AI coding tools daily, write evals and regression tests, and iterate rapidly with founders and senior engineers.

The AI Enablement Engineer will integrate AI tools into engineering workflows, enhance productivity, and ensure compliance with data security standards while supporting engineers' adoption of AI solutions.

The AI Application Engineer will design and develop applications using Large Language Models, implementing workflows, ensuring code quality, collaborating with teams, and deploying solutions on cloud platforms.

Lead architecture and delivery of enterprise AI agent solutions on the Moveworks/ServiceNow platform, integrating with enterprise systems. Build and tune AI workflows, partner with product and vendors, and provide L2/L3 IT operations support (servers, networks, virtualization, cloud). Act as help desk escalation, troubleshoot complex issues, and continuously improve IT processes.

The AI Engineer will develop scalable AI systems, automate workflows, and collaborate with business teams to enhance operational efficiency across OpenSesame.

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.

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.

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

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.

Design and implement test automation for instrument software, data pipelines, cloud analytics, and AI/ML outputs. Build data validation frameworks, schema and pipeline checks, integrate tests into CI/CD, validate ELN/LIMS interoperability, ensure traceability and regulatory Quality System compliance, and contribute to test solution architecture and orchestration.

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.

The Senior Machine Learning Engineer will automate healthcare compliance workflows using AI to process unstructured data, build multimodal AI pipelines, and develop extraction systems, ensuring high reliability and operational efficiency.

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

Support CBP stakeholders to identify AI opportunities, design and refine prompts and AI-enabled workflows, prototype and validate AI outputs, train users, document use cases, and coordinate deployment and integration efforts to improve operational efficiency.