Top AI Engineer Jobs

Lead AI Enablement initiative by owning platform domains, designing serverless workflows, mentoring engineers, and improving developer experience with high-quality code delivery.

Design and run scalable 1-to-many onboarding and adoption programs, build reusable technical assets (playbooks, templates, notebooks), and use product signals to segment customers, measure impact, and feed insights back to Product, Support, and Field Engineering.

As a Senior AI Community Engineer, you'll engage developers through in-person events, manage community health, track participant activations, and establish Deepgram's presence in the Bay Area tech scene.

This role involves developing and implementing testing frameworks for ensuring reliability and performance of AI security controls across platforms. The engineer will expand test coverage and contribute to quality metrics for AI models.

The Senior Backend Engineer will design, build, and scale AI-driven operations, manage the product lifecycle, and implement AI technologies while ensuring data security and system performance.

The Senior AI Software Engineer will design and build secure systems for high value senders, focusing on trust and reliability in financial transactions. Responsibilities include technical design, system architecture, team mentoring, and using AI tools to enhance software delivery.

The Full Stack AI Engineer will redesign AI-native codebases, implement front-end and back-end features, work with LLMs, and shape product outcomes collaboratively.

The AI Developer will design and implement AI-driven solutions for enhancing customer experience and operational efficiency, closely collaborating with IT and business stakeholders.

The AI Developer will design and implement AI-powered solutions for customer experience and operational efficiency, integrating with systems like NetSuite ERP and developing machine learning models.

Lead design and delivery of production LLM systems for drug discovery: build RAG pipelines, hybrid retrieval, text-to-SQL, agentic workflows, evaluation frameworks, and orchestration for scientific analyses.

Build AI-driven solutions using Python, develop GenAI applications, design RAG services, and implement LLM evaluation frameworks while collaborating with engineering teams.

Develop GenAI applications and autonomous AI agents. Design RAG services, build scalable APIs, implement evaluation frameworks, and mentor teams.

The AI Engineer Intern will collaborate on AI projects, design and test software solutions, and enhance processes using AI technologies.

As an AI Engineer, you will build and deploy AI solutions with Microsoft technologies, support intelligent agents, and collaborate on data workflows.

As a Data Scientist, you will develop machine learning solutions for forecasting and anomaly detection, working on data exploration, modeling, and deployment.

Develop and deploy ML and Generative AI solutions (LLMs, transformers, RAG) for forecasting, anomaly detection, and prescriptive maintenance. Contribute to model evaluation, pipeline development, prompt engineering, responsible AI, and cross-functional delivery in production environments.

Rapidly prototype and iterate AI-powered features (LLMs, embeddings, real-time audio, APIs), lead experiments from hypothesis to proof-of-concept, collaborate with product and engineering to translate prototypes into product-aligned solutions, and share learnings and artifacts to accelerate team innovation.

You will develop AI systems for medical diagnosis, focusing on clinical accuracy and safety. Responsibilities include optimizing LLM integration and architecting AI infrastructure.

The role involves designing, building, and deploying production-grade AI agents to automate real estate workflows, managing the entire product lifecycle from prototype to production.

As an Applied AI Engineer, you will develop world generation pipelines, design orchestration systems, and create reinforcement learning frameworks for gaming.

As an Applied AI Engineer, you will build AI features, customize models, ensure production quality, and collaborate with teams to enhance legal services using AI.

Design and implement cutting-edge machine learning models, optimize them for performance on Apple devices, and collaborate with engineers to enhance user interfaces.

Design, develop, and implement full stack custom software solutions, ensuring product quality through testing and contributing to team success.

Seeking an Sr. AI Developer to design, build, and operationalize AI solutions, driving enterprise modernization and engaging with stakeholders. Responsibilities include developing scalable applications, managing cloud solutions, and mentoring technical teams.

The Senior AI Engineer will develop core AI systems for healthcare, focusing on real-time inference and NLP pipelines, ensuring safety and scalability in medical consultations.