Top AI Engineer Jobs

The Staff Software Development Engineer will lead software development projects, implement AI/ML solutions, oversee system architecture, and mentor teams, focusing on both legacy and modern technologies.

The AI Forward Deployed Engineer designs and implements AI solutions, collaborating with stakeholders, enhancing reliability, and producing reusable resources. Responsibilities include diagnosing AI solution issues and engaging with finance and data teams.

Drive adoption and understanding of NVIDIA's AI models through technical marketing, creating content, and engaging with developers and customers.

The AI Software Engineer will develop AI applications, maintain AI infrastructure, integrate AI into products, and work with various teams to enhance productivity using AI tools.

The role involves collaborating on AI GPU deployment, optimizing performance, mentoring engineers, and improving user experience on NVIDIA RTX platforms.

Lead technical and strategic partnerships with Tier 1 Network Equipment Providers, influencing product strategies in AI-RAN technology and ensuring successful deployments of NVIDIA systems.

Design and implement AI-driven optimizations for software development workflows, leveraging LLMs and Agentic AI to enhance productivity and reliability.

As a Senior Software Engineer, you will design and develop AI solutions for scientific research, collaborate with various teams, and optimize distributed systems.

Design and execute benchmarking methodologies for large-scale HPC/AI clusters, build and maintain telemetry/observability stacks (Prometheus, Grafana, DCGM), analyze performance across host, network and facility metrics, collaborate with hardware/software teams and customers to identify bottlenecks and optimize workloads, and contribute new benchmarking approaches for emerging workloads.

As a Generative AI & Machine Learning Engineer, you'll manage AI/ML product development, support model lifecycle, and ensure solutions meet customer needs, fostering collaboration and innovation.

This role involves leading pre-sales engagements, designing scalable solutions for customers, and evaluating ML model performance to enhance training efficiency.

Lead projects to scale AI integrations for financial tools. Develop GenAI-powered products, balance exploration with technical feasibility, and enhance customer interactions.

The Principal AI Content Creator will develop and optimize AI agents for customer service, improve natural language processing, and enhance bot capabilities for GE Appliances' digital innovation team.

The AI Data Engineer evaluates and validates AI agent output, creates datasets for testing, implements evaluation automation, and communicates technical findings to stakeholders.

Responsible for ensuring the quality of Veeva AI Agents through evaluation and validation methodologies. Tasks involve creating test datasets, developing evaluation pipelines, analyzing model behavior, and communicating results to teams.

The role involves ensuring the reliability of Veeva AI Agents through validation, creating test datasets, automated evaluations, and root cause analysis.

The role involves evaluating AI data integrity, creating high-quality datasets, automating evaluation pipelines, and communicating performance metrics to product teams.

The AI Data Engineer ensures the quality and reliability of AI Agents through rigorous evaluation, data integrity assessment, and automation of evaluation pipelines, while communicating findings to technical teams.

As an AI Data Engineer, ensure the reliability and accuracy of AI Agents through systematic evaluation and validation, utilizing strong analytical skills and data quality principles.

As a Software Engineer III/Senior for the AI Gateway team, you'll build and manage AI traffic policies, track AI usage, and enhance observability for AI systems in production environments.

The AI Enterprise Engineer will work with enterprise customers to define model specifications, analyze agent behavior, and benchmark models using Bespoke Labs tools, requiring a strong foundation in AI/ML and production deployment.

As an AI Product Engineer, you will develop innovative LLM-powered solutions, enhance AI systems, and collaborate with cross-functional teams to improve customer experiences.

Collaborate with product leaders to build scalable AI product features, mentor teammates, and shape engineering culture in a fast-moving environment.

The AI Success Engineer drives adoption of OpenAI products for government clients, ensuring technical readiness, mapping workflows, and guiding deployment while fostering strategic customer relationships and maximizing the value of AI solutions.

Lead the development of an AI-powered web application that integrates data insights, mentors junior developers, and ensures high-quality delivery.