Top AI Engineer Jobs

Lead design, buildout, and operationalization of a secure enterprise AI platform in Azure GCC High. Establish frontier model access, RAG-enabled knowledge systems, governed AI APIs, RBAC and monitoring, and enable engineering teams to deploy AI-powered tools. Ensure compliance with FedRAMP/DoD/CMMC controls and coordinate with IT for secure networking and identity integration. Support AI adoption, prototyping, and lifecycle practices across internal and client projects.

Build and own AI agents that automate customer support, onboarding, and success workflows. Ship agentic support and onboarding flows, monitor account health, reduce human touch through automation, instrument outcomes, and collaborate with customers on-site to iterate rapidly. Measure impact on adoption, retention, and time-to-value.

Develop, debug, and maintain AI applications and tools for large-scale data analysis. Collaborate with engineers and leadership to design solutions, create documentation, and improve developer workflows using modern LLM tools.

Architect and build AI-native production systems across a multi-language stack, design offline and online evaluation frameworks for LLMs, monitor live model behavior and drift, lead architecture reviews, mentor senior engineers, and prototype and ship AI capabilities while ensuring reliability and correctness in a regulated domain.

As a Senior Software Engineer at Vanta, you will design and build internal tools for go-to-market teams, focusing on applications that enhance sales and customer engagement, employing modern tech and AI workflows.

Design and implement scalable, secure cloud-native platforms and services for real-time network data processing, generative AI and agentic systems. Lead architecture, mentor engineers, build production-grade distributed systems for analytics, telemetry, and intelligent automation.

Lead and sustain large-scale HPC systems supporting NOAA/NWS forecasting. Manage scheduler/software stack (PBS Pro/Slurm), optimize performance and throughput, troubleshoot multi-node Linux clusters, develop scripts, and support 24/7 operations with occasional travel and on-call duties.

Design, implement, and own a reusable on-device ML inference platform for resource-constrained devices. Integrate inference into RTOS firmware, develop drivers and DMA paths, debug on real hardware, train and optimize models for microcontroller-class hardware, and ship features to production while raising team expertise and using AI-assisted tooling.

The AI Infrastructure Engineer will design and operate data and compute systems, manage GPU infrastructure, and develop data pipelines for machine learning models.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions, architect scalable infrastructure, and implement data pipelines across multi-cloud environments while collaborating with cross-functional teams to maximize business value.

Work directly with government and enterprise clients to architect, integrate, and deploy secure, compliant AI-enabled cloud environments. Build microservices and APIs, manage IaC, CI/CD, containers/orchestration, observability, and platform uptime across commercial and government clouds while meeting accreditation standards.

As a Staff Engineer on the AI team, you'll design and build core cognitive architectures, focusing on high-performance AI systems and ensuring reliability while addressing complex problems.

Build and productionize AI applications integrating LLMs and vision models into an edge-to-cloud robotics platform. Fine-tune and quantize models, deploy to NVIDIA Orin/Jetson and cloud GPUs, integrate Vector DBs/RAG/agent frameworks, and create data pipelines to collect and version sensor data for retraining.

The AI Research Engineer will design, implement, and improve AI systems for therapy, enhance evaluation methods, and collaborate with various teams to innovate and ensure safety in AI therapy.

The AI Product Engineer will design and launch AI-driven products for government agencies, collaborating with various teams to streamline services and improve usability.

Design, build, and maintain agent APIs and production agent applications for document understanding, advanced RAG, and customer support automation. Integrate open-source models, collaborate with backend and infra for deployment and monitoring, and ensure APIs are robust, scalable, and developer-friendly.

Design, implement, and optimize GPU kernels, kernel compiler, memory planner, and runtime for low-latency generative AI inference. Analyze performance bottlenecks across hardware and software, collaborate with infrastructure teams, and maintain production profiling, benchmarking, and validation tooling while supporting new model architectures and multi-GPU strategies.

Seeking a Senior AI Engineer to develop automated systems for vulnerability research, reverse engineering, and secure engineering utilizing machine learning and AI-driven tools.

As a Full Stack Software Engineer, you will develop AI-driven products, manage code pipelines, support team operations, and ensure system health, leveraging technologies like React and Node.js.

The Early Career Software Engineer will design, develop, and maintain software solutions with a focus on AI integration, collaborating with teams to create innovative features.

The AI Platform Engineer designs and operates the Microsoft Power Platform ecosystem, delivering AI-driven business solutions and custom integrations while ensuring security and compliance.

Design, build, and deploy production-grade agentic AI systems and scalable evaluation frameworks. Develop automated metrics to measure accuracy, safety, and reliability of non-deterministic agents. Automate and scale evaluation infrastructure to improve characterization and assessment of onboard autonomous driving software.

The AI Systems Engineer will design and develop a core ML stack, solve technical challenges across verticals, ensure code quality, and lead the team in building impactful AI systems.

The Backend Engineer for AI will develop AI-powered features, solving complex problems, collaborating with teams, and delivering impactful products.

As an Applied AI Research Engineer, you'll work on ML projects, build models, integrate them into platforms, and drive business impact through AI applications.