Top AI Engineer Jobs

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 Senior AI-Enabled DevOps Engineer will design and manage cloud infrastructure, build CI/CD pipelines, support AI deployments, and improve reliability through automation and collaboration with software teams.

As an Intermediate AI-Enabled DevOps Engineer, you will support and improve cloud infrastructure and CI/CD pipelines, automate operational tasks, and monitor system health while working closely with senior engineers.

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.

Design, develop, and deploy AI-powered agents and RAG solutions. Build agentic workflows, integrate LLMs, create data pipelines and embeddings, implement APIs and microservices, deploy on cloud, and monitor scalable AI applications. Collaborate across product and engineering to deliver production-ready solutions.

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

Translate cutting-edge ML and physics research into production-grade scientific code, architect and scale large-scale simulation and training pipelines on GPU infrastructure, optimize hardware-level performance, and support models throughout the product lifecycle to accelerate in silico drug and materials discovery.

The role involves designing, building, and deploying AI-powered tools integrated with enterprise data. Responsibilities include developing applications using GenAI and LLM, collaborating with business users, and ensuring compliance with security and governance standards.

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

The Senior Frontend Engineer will lead development of UI features using React and TypeScript, collaborate on API designs, and optimize performance in a data-intensive financial platform environment.

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

The role involves developing scalable backend services using Python, optimizing performance, integrating AI features, and collaborating with cross-functional teams.

Provide SETA support and technical advisement for design, integration, and sustainment of AI platforms in government environments. Assess cloud/hybrid platform readiness (Azure/AWS), containers, data pipelines, model hosting, identity/security, observability, and scalability. Produce architecture artifacts, briefings, and documentation; evaluate vendors; identify risks and mitigation; coordinate stakeholders; and assist transition from pilot to operational capability while educating teams on AI platform best practices.

Lead design and build of production AI-powered applications and autonomous agent systems, and develop scalable AI-ready backend services. Craft microservices (Kotlin/Java, Micronaut/Spring), event-driven architectures (Kafka), and data stores (Postgres, Redis). Implement RAG, vector search, prompt/context engineering, observability (OpenTelemetry), and responsible AI practices. Mentor engineers, lead architecture and design reviews, and drive performance, reliability, and operational excellence for Circle Card application services.

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.

The role involves designing, developing, and maintaining AI/ML tools, particularly focusing on LLM orchestration frameworks and data optimization, while collaborating with mission stakeholders and supporting security assessments.

The Principal Engineer will architect and develop scalable AI-driven data platforms, mentoring engineers and aligning technical strategies with business goals.

Support customer network operations with systems engineering and project management by analyzing AI/ML proposals, coordinating activities, and improving processes.

The Staff Software Engineer will develop and maintain infrastructure for AI research, improve tooling for researchers, and mentor engineers in creating scalable systems for experiments and model training.

As a Senior AI Platform Engineer, you will architect AI-driven systems, develop CI/CD pipelines, and optimize infrastructure for AI workflows.

Lead the design and development of machine learning solutions, overseeing the entire software development lifecycle and mentoring engineers. Drive innovation in Generative AI and high-performance systems.

Develop and maintain C++ machine control and data analysis software for advanced mask inspection systems. Collaborate with multidisciplinary teams to define system requirements, optimize performance, support integration and testing, and resolve customer escalations. Work in Linux environments and leverage RPC/REST APIs, containerization, and modern UI frameworks as needed.

The role involves designing and developing AI-driven software to improve geospatial data quality. Responsibilities include developing ML components, collaborating with cross-functional teams, and integrating AI algorithms for product releases.

As a Product Engineer II, you'll develop and maintain AI frameworks in ArcGIS Enterprise, collaborate on delivery, and ensure software quality.