Top AI Engineer Jobs

Design and build AI solutions using machine learning algorithms, working on diverse applications to deliver robust and secure solutions.

Participate in Career Accelerator Program, designing AI solutions, building data pipelines, and addressing challenges in various applications using machine learning algorithms.

The Senior AI Software Developer will design and develop microservices-based applications, collaborate in Agile environments, and implement automation solutions. Key responsibilities include coding, integrating services, and supporting CI/CD practices.

Design and implement microservices-based applications, collaborate with cross-functional teams in an Agile/SAFe environment, and develop clean, testable code following DevSecOps practices.

Responsible for redesigning core business processes to enable automation and AI adoption, collaborating with stakeholders to create scalable, AI-ready processes using BPMN and DMN models.

Lead AI solutions by integrating and maintaining AI/ML capabilities, developing full-stack features, and implementing secure data integrations, while mentoring engineers and aligning with platform standards.

Designs and implements AI solution architecture, mentors team members, and develops innovative solutions to complex business challenges.

This role involves training, testing, deploying ML models, and defining ML strategies for military use, requiring strong experience in AI and machine learning techniques.

Design, develop, and deliver production-grade agentic AI systems. Collaborate on AI architecture, integrate models, and optimize workflows. Lead workshops and define solutions with clients.

NVIDIA seeks an engineer to develop and optimize algorithms for AI workloads using the Megatron Core and NeMo Framework, focusing on large language models. Responsibilities include performance tuning, model training, and contributing to open-source projects.

As a Developer Relations Manager, you'll build relationships with partners, support developers, provide technical guidance, and drive AI product adoption.

Lead development of high-throughput, low-latency LLM inference: contribute upstream to vLLM/SGLang, optimize runtimes from Python to CUDA, improve multi-GPU/node scaling, ensure robustness and observability, and mentor engineers while integrating community advances into production.

Design and implement compiler optimizations for deep learning inference, collaborate with framework and GPU architecture teams, define APIs, analyze performance, and deliver efficient AOT and JIT compilation for AI workloads across platforms.

The role involves creating technical content for NVIDIA's AI platform, collaborating with engineers, and engaging with the developer community on AI topics.

The role involves improving AI cluster resiliency, developing AIOps solutions, automating workflows, and delivering presentations while collaborating with customers and teams.

The Associate Software Engineer will design and implement scalable software using Python and AWS, develop RESTful APIs, ensure system reliability, and collaborate with teams to optimize applications. The role requires 3-4 years of experience.

The role involves designing and building reliable software, partnering with teams, ensuring compliance, and innovating at scale in the Generative AI platform.

The role involves developing AI models for automation in launch vehicle operations, analyzing large datasets, and collaborating on AI processes with robust validation.

Lead ML strategy and architecture, develop novel enterprise-scale ML solutions, influence organization-wide technical decisions, guide ML practices, and build high-performing teams to deliver breakthrough AI/ML systems.

Lead enterprise-scale AI/ML strategy and architecture, develop novel ML solutions for complex problems, guide organization-wide ML practices and standards, influence technical decisions, and build and lead high-performing cross-functional ML teams to drive innovation and business impact.

The AI Developer Intern will design and develop AI agents, implement RAG models, fine-tune open-source models, collaborate with teams, and optimize AI systems.

Lead a team to optimize algorithms for Deep Learning and Machine Learning, define technical initiatives, and collaborate with various teams for hardware and software innovation.

Build and ship core product features for Thorin's user-facing product, owning both frontend and backend logic in a fast-paced startup environment.

Design and implement AWS-based AI features and APIs, build AI-driven product capabilities to analyze forensic data, ensure code quality and observability, integrate LLM/GenAI services, support deployments on EKS/Kubernetes, and collaborate across teams on data modeling and POCs.

The Solutions Engineer will drive the adoption of AI-powered solutions in the electric utility sector, providing technical consulting and customer enablement. Responsibilities include gathering requirements, architecting solutions, leading RFI/RFP processes, and delivering training. Extensive travel is required for client engagement.