Top AI Engineer Jobs

Design, build, and deploy LLM-powered applications and automation for commercial, billing, and CX teams. Partner with stakeholders to scope solutions, create data pipelines, own end-to-end deployments and monitoring, establish prompt engineering and responsible AI practices, and run internal training.

The AI Engineer will design and build production-grade AI systems focusing on Retrieval-Augmented Generation and managing Large Language Models. Responsibilities include architecting solutions, integrating vector databases, and ensuring compliance in financial services.

Develop production-grade AI agents for enterprise customers. Design and build LLM-powered systems, integrating workflows, evaluation, and performance standards. Collaborate closely with customers and teams to ensure reliability and effectiveness in real-world applications.

The AI Engineer will design, implement, and prototype GenAI and ML solutions to enhance operational intelligence and efficiency in investment services.

The AI Engineer will design, implement, test, and maintain high-performance AI and machine learning models, optimizing them for deployment, collaborating with cross-functional teams, and ensuring software quality.

Design and develop software integrating AI capabilities, mentor team members, ensure product quality, and promote AI literacy within the engineering team.

Design and implement AI-powered solutions using LLMs, build APIs for enterprise systems, and support AI capabilities integration, under senior guidance.

The Senior AI Engineer will focus on building AI-driven pipelines, semantic technologies, and enterprise ontologies while mentoring and ensuring best practices in a hands-on role.

Design and develop AI-powered applications, implement agentic workflows using modern orchestration frameworks, and manage multimodal datasets while staying current with AI trends.

The AI Engineer develops agent-based systems for automating workflows across various departments, working with AWS and AI frameworks. Responsibilities include building integrations, enhancing CodeAI capabilities, and supporting production systems.

Lead the AI Developer Experience team to enhance developer productivity through AI tools, streamline workflows, and ensure effective AI adoption across the organization.

As a Senior Software Engineer on the AI Developer Experience Team, you'll build and maintain developer tools, implement workflows, and collaborate with various teams to enhance internal engineering processes.

As a Staff Software Engineer, you will lead the design and development of internal engineering tools, improve developer workflows, and collaborate with various teams to enhance productivity and reduce friction in coding processes.

The AI Engineer/Back-End Developer will design and maintain back-end services and APIs, optimize algorithms, and support AI integration in scientific workflows, requiring extensive experience and collaboration with stakeholders.

The AI Engineer will develop and deploy AI/ML models, optimize data pipelines, and collaborate with teams to enhance investment decision-making using AI technologies. Responsibilities include maintaining AI governance and facilitating innovation workshops.

The Senior Data/AI Engineer will design, develop, and operate AI-driven backend systems, data pipelines, and APIs, while providing technical guidance and ensuring system reliability and scalability.

Design, build, and deploy generative AI solutions and APIs that integrate with data platforms. Implement RAG and prompt strategies, automate data workflows, ensure data quality and governance, and document integrations while collaborating with data, IT, and business teams.

The role involves designing and operating real-time AI systems for sports analysis, integrating various data signals under tight constraints and mentoring other engineers.

Lead development of AI and ML solutions for healthcare systems, overseeing teams, driving use case development, and ensuring operational excellence while managing global delivery operations.

The role involves building user experiences, automating ML workflows, applying ML to data labeling, and collaborating across teams to improve data quality for autonomous vehicles.

The Vice President will lead AI experimentation and prototyping, work with senior leadership on AI-driven solutions, and drive productivity improvements across various business areas.

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.