Top AI Engineer Jobs

The Applied AI Engineer will work with language models to create applications, manage the model alpha program with OpenAI, conduct experiments, and influence policies.

Design, build, and evaluate AI systems, focusing on natural language understanding and automation. Collaborate with teams to ensure production quality and performance metrics.

The AI Engineer will design and build voice-based generative AI systems in healthcare, collaborate with teams, and ensure clinical safety.

Lead the development of AI solutions on the Salesforce platform to optimize business operations, automate workflows, and enhance organizational efficiency through generative AI.

The Staff AI Engineer will build and scale the AI Agent platform, enabling high-volume conversational workflows and managing complex customer interactions across multiple channels.

The Staff AI Engineer will build and scale an AI Agent platform for managing customer interactions, focusing on high-volume, real-time workflows and system performance improvement.

The Full Stack Gen AI Engineer will build high-performance API services, implement Generative AI architectures, and manage AWS infrastructure and DevOps workflows.

Seeking a Sr. AI Engineer to lead AI integration projects, mentor engineers, develop AI/ML platforms, and ensure operational excellence.

Lead AI security for internal platforms and client products by threat modeling, security testing, and building guardrails and automated tooling integrated into CI/CD. Advise engineering teams, remediate AI risks (prompt injection, data exposure), and contribute firm-wide secure‑by‑default standards for AI development.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

The Senior Software Engineer will design and develop AI-powered solutions, focusing on LLM technologies and collaborating with teams to enhance product features.

Develop large-scale Foundation Models for Autonomous Driving & Robotics, collaborating with teams, optimizing model performance, and mentoring junior members.

The Lead Data Engineer & Modeler is responsible for building scalable AI infrastructure, managing data pipelines, and collaborating with multiple teams to enable AI capabilities within BigCommerce.

Lead the design and implementation of AI-based products, collaborate with stakeholders for strategic guidance, and build scalable systems while mentoring teams. Required to have significant experience in coding and AI technologies.

The Senior Security Engineer will enhance AI security solutions, evaluate threats, design guardrails, and collaborate with teams to implement security strategies in a cloud environment.

This role involves defining AI architecture, improving system quality, leading teams, and building production-ready AI systems at Drata.

The role involves designing and implementing conversational AI systems, managing prompt orchestration, and ensuring conversational quality through advanced evaluation frameworks.

Lead the development of intelligent search systems leveraging machine learning, focusing on query understanding, ranking, and entity recognition. Collaborate with teams to innovate data-informed search technologies.

The AI Engineer will develop user-facing features using TypeScript and React, collaborate on product ideas, and leverage AI coding tools in a high-velocity team environment.

Develop and deploy computer vision capabilities, building pipelines for image processing, analysis, and integration with multimodal AI systems. Requires collaboration with Product and Engineering teams.

The Engineer will build, deploy, and operate AI capabilities, implement generative and agentic AI solutions for intelligence applications, and ensure safe and efficient AI outputs.

The role involves designing, developing, and deploying GenAI applications and collaborating with teams to integrate AI solutions. Candidates should have strong machine learning experience and software development skills.

As an AI Engineer, you will design, build, and deploy AI systems, collaborating with teams to improve AI capabilities and meet business goals.

Responsible for bioinformatics ML/AI application development in clinical settings, designing and deploying ML/AI solutions, and collaborating with multidisciplinary teams.

As a Principal AI Engineer, you'll design scalable AI systems, mentor teams, develop large-scale LLMs, and optimize AI-driven cybersecurity solutions.