Top AI Engineer Jobs

Design, build, and run large-scale backend and data infrastructure; productionize and run experiments on AI/ML models; implement MLOps best practices (versioning, monitoring, alerting); improve model accuracy, speed, and cost; and drive engineering process and culture improvements.

Develop, design, and maintain AI/ML software solutions; collaborate with engineers and leadership; build tools to analyze large-scale data; debug, profile, optimize, and test software; create documentation and user support materials; leverage modern LLM tools to accelerate development.

The role involves building and maintaining AI safety systems, collaborating with engineers to improve AI model safety, and managing incidents to enhance user safety.

Lead research and development of novel ML and deep learning algorithms from data and architecture design through evaluation and transition to production. Prototype research ideas, run benchmarking experiments, build reproducible research tooling, and communicate findings to leadership.

As a Backend Software Engineer, you will design, build, and maintain backend services and APIs for automated knowledge systems, collaborating with cross-functional teams.

The Senior Back End Software Developer will design and develop cloud notebook applications, focusing on back-end systems while collaborating on features and implementing secure interfaces and services.

The Senior Front End Software Developer will create secure, performant, cross-platform applications, collaborate on feature implementations, and ensure code usability and testing, with a focus on design and structure.

The role involves developing AI strategies, innovating across platforms, mentoring engineers, and participating in product and architectural decision-making.

Lead end-to-end design, requirements, and delivery of AI-enabled platforms. Translate stakeholder needs into functional and technical requirements, manage product backlog and agile teams, integrate AI models and cloud/COTS solutions, coordinate UAT and incident response, and oversee operations, maintenance, and release cycles to ensure security, scalability, and user adoption.

Lead the support engineering function by building and owning AI agents, automation workflows, classification and knowledge systems to eliminate ticket categories. Run escalations, investigate complex issues across logs and code, hire and coach support engineers, and close feedback loops with product and engineering to continuously reduce manual support work.

As a Senior QA Automation Engineer, you will design automation frameworks, test AI features, and collaborate with developers to ensure high code quality.

Own and evolve a production design system in code used across multiple products: tokens, primitives, components, distribution, documentation, and adoption. Ship production UI work, ensure accessibility, enable AI-consumable patterns, partner with designers, instrument metrics, and drive engineering adoption and throughput.

As a Senior AI Frameworks Engineer, you'll develop high-performance APIs and infrastructure for GPU programming, ensuring a seamless developer experience in AI and deep learning contexts.

The role involves developing AI systems software, implementing and optimizing kernels for AI workloads, and collaborating on deep learning frameworks and libraries.

Design, analyze, and test DC-DC power converters and electrical power subsystems for space-rated satellites. Define requirements, perform verification testing and analysis, and collaborate with multidisciplinary teams to produce reliable, high-efficiency power electronics for orbital AI compute platforms.

Develop AI systems to enhance user experiences, collaborate with cross-functional teams, and mentor AI best practices while growing the team.

Design, analyze, and test DC-DC and other power converters for space; perform system-level power trades and verification; develop requirements; collaborate with multidisciplinary teams to produce robust, high-efficiency power electronics for orbital AI satellites.

The Internal Systems Engineer (Applied AI) builds AI tools, maintains agent platforms, and develops internal software for Customer Operations at impact.com. Responsibilities include working with business stakeholders, integrating AI in workflows, and improving operational efficiency through automation.

The AI Full Stack Engineer will design and build AI-powered healthcare products, oversee backend and frontend development, and influence technical direction in a collaborative, fast-paced environment.

The Lead Software Engineer will architect the test infrastructure for robotics, integrating various teams, and ensuring continuous testing through automated frameworks and CI/CD pipelines.

The AI Automation Engineer will automate internal processes, mentor non-technical staff on building tools, and ensure solutions deliver measurable business impact using AI technologies.

Develop and deploy innovative AI systems to enhance Factory's core capabilities, integrating research findings into practical solutions and addressing scalability challenges.

The Staff AI Research Engineer will architect AI systems, optimize retrieval methods, collaborate across teams, and innovate AI solutions for sales efficiency.

As a Full Stack Engineer III at Calendly, you'll develop features, scale the platform, and mentor team members while using various technologies.

Design, build, and iterate AI agents, copilots, and assistant experiences using Microsoft Copilot Studio, Azure AI, and Power Platform. Configure knowledge sources, partner with stakeholders to prototype solutions, evaluate agent performance, refine prompts and grounding, and document and package reusable templates toward production readiness.