Senior AI Agent Engineer Jobs

Perplexity AI

Perplexity is seeking an Engineering Manager to lead and grow its highly driven Agent Engine team. This team designs and builds powerful agentic experiences, including Perplexity Computer, the Comet ecosystem, and the Agent API. The role involves bringing AI expertise, sharp product intuition, and strong leadership skills to advance the frontier of what agents can accomplish for millions of users. The manager will lead, grow, and support the team in solving open problems in AI, such as designing agent harnesses, leveraging action and decision models, providing excellent cross-environment experiences, developing secure agentic capabilities, and optimizing data representations for agent-environment interactions.

$300k - $485k

Artificial intelligence is shifting from passive help to autonomous, always-on workflows. Our mission is to make this change seamless, efficient, and secure for millions globally. We seek a Senior Engineer to lead technical efforts in deploying advanced AI agent frameworks and local runtimes on Windows and NVIDIA GeForce RTX GPUs. You will guide development so open-source AI agents operate locally, safely, and efficiently on consumer PCs. By combining powerful local inference with strong privacy routers and sandboxed execution, you will help develop the foundation of the desktop AI operating system.

$184k - $357k

We are seeking a Manager of Data & AI Engineering to lead the development of our next-generation autonomous data intelligence platform for Supply Chain Operations. This role requires a blend of deep technical expertise, strong delivery leadership, and people management skills. You will be responsible for identifying high-impact opportunities, architecting, building, and productionizing solutions that deliver significant business value. The ideal candidate will have hands-on experience in architecture and engineering, coupled with the ability to manage a high-performing team and collaborate effectively with business stakeholders to translate operational challenges into innovative data and AI solutions.

$200k - $322k

Anduril Industries

Discovery is seeking an AI & Agentic Platform Engineer to join their expeditionary force. This role involves taking unproven concepts and building the analysis or prototype to test them, working on challenges across autonomy, sensor analysis, and battle space management. The team focuses on moving AI models from research into production, specifically onto classified platforms and edge hardware where reliability is paramount. Rigorous and repeatable evaluation of model performance is critical as the model portfolio and classified work expand.

$260k - $345k

Vercel

Vercel is seeking a DevRel Engineer to join their product teams focused on agentic infrastructure, including AI Gateway and Sandbox. In this role, you will work closely with product and engineering to build with these tools before their public release, showcasing their capabilities through various content formats. You will be instrumental in shaping the products by providing early feedback and ensuring a smooth developer experience. This position reports to the Head of AI Infrastructure and can be located anywhere.

$168k - $252k

Mirage is an AI video company focused on making creation dramatically easier by building multimodal agents that turn creative direction into edits, rendering engines that composite video and graphics, and generative video models. Our technology, including Captions (a creative workspace) and Tesseract (a video engine for AI agents), is now available more broadly through APIs. This role focuses on designing and building agentic systems that power creative workflows for short-form video, shaping how AI agents reduce friction, accelerate learning, and unlock new creative possibilities for users. You will experiment with emerging models and techniques to bring these experiences to life in production, working across product, machine-learning, and systems engineering to own problems end-to-end and help define how our agents are built and deployed.

$175k - $300k

NVIDIA IT's Enterprise AI & Automation team is seeking a Principal or Distinguished Engineer to architect and build enterprise-grade agentic AI systems. This role involves hands-on coding in Python and/or Go to develop production AI agents that securely integrate with enterprise systems, enhancing employee efficiency and business outcomes across various departments. The ideal candidate will be a technical leader who can translate new agent development patterns into scalable platform capabilities, define NVIDIA's enterprise agent architecture through practical implementations, and drive the full agent development lifecycle from creation to continuous enhancement. This position is for a deeply involved technical leader who writes code daily and thrives in ambiguous environments, rapidly moving from concepts to operational systems. You will invent systems incorporating persistent memory, controlled runtimes, strict assessment, and GPU-powered performance to ensure agents are intelligent, trackable, protected, and production-ready.

$272k - $431k

CoreWeave

CoreWeave is seeking a Staff Software Engineer for the Developer Experience (DevEx) team. This team is responsible for the platform, services, and systems that empower all engineers at CoreWeave to build and ship software efficiently and reliably. The scope includes CI/build infrastructure, testing, delivery systems, artifact management, internal developer platforms, and AI tooling. This role is for a technical leader who will define the technical strategy for DevEx, address complex developer productivity challenges, and shape the future of the agentic developer platform.

$188k - $275k

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC-gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU-accelerated deep learning ignited modern AI—the next era of computing—with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” Our Enterprise AI team builds intelligent AI agents that transform how NVIDIA operates — from smart personal assistants and engineering-productivity tools to data-driven analytics and supply-chain optimization. These agents are live, in production, and used across the company. Now we need a principal-level, hands-on engineering leader to make them bulletproof and to architect the next generation of agent infrastructure. This is not a research role. This is a role for someone who obsesses over reliability, polish, and user trust — and who has the full-stack depth to harden production systems and the architectural vision to ensure they scale. What you'll be doing: - Improve reliability, performance, observability, release confidence, and end-user experience across desktop, web, and service-based AI products. - Design and build resilient frontends, backend APIs, distributed services, data flows, and deployment systems that scale to enterprise use. - Establish strong patterns for testing, debugging, CI/CD, safe rollout, auto-update mechanisms, monitoring, incident response, and operational excellence so our Agentic AI applications behave like mature software, not prototypes. - Build reusable capabilities that support multiple agent domains, including orchestration services, deep-agent workflows, memory and context services, evaluation frameworks, telemetry, and policy-aware tool integration. - Help validate and operationalize technologies such as Nemotron, NVIDIA AI Blueprints, and related platform capabilities in enterprise production settings. - Codify architecture, shared components, documentation, and operational playbooks; mentor engineers; and create foundations that are durable, reusable, and broadly owned. - Define the core architecture for how AI agents discover one another, collaborate securely, build trust, and operate under enterprise governance. - Partner closely with domain AI engineers, product managers, designers, infrastructure teams, IT, and research to deliver measurable outcomes across employee productivity, engineering efficiency, AIOps, and enterprise operations. What we need to see: - BS, MS, or equivalent experience in Computer Science or a related field. - 15+ years building and operating production software systems, including significant experience leading architecture and delivery across the full stack. - Familiarity with enterprise application deployment, security, authentication, device management, and application lifecycle management. - Solid experience building modern applications across frontend, backend, and platform layers. This may include technologies such as TypeScript/JavaScript, React, Electron or similar desktop frameworks, Python, Go, Java, APIs, data systems, and distributed infrastructure. - Proven track record taking complex products from prototype to reliable, secure, well-operated production systems. Deep expertise in testing strategy, release engineering, observability, performance tuning, and incident response. - Experience building shared services, internal platforms, SDKs, or core infrastructure used by multiple teams or products. - Working knowledge of modern AI application patterns such as LLM-powered applications, RAG, tool use, CLI-based workflows, reusable skills, MCP-based integrations, evaluation loops, memory systems, and agentic workflows. You do not need to be a research scientist, but you should know how to build reliable, production-grade systems around AI. - Strong judgment, communication, and cross-functional leadership skills, with the ability to influence across teams while remaining highly hands-on. Ways to stand out from the crowd: - Experience hardening desktop or client applications at scale, including installers, auto-update systems, crash recovery, and enterprise distribution. - A track record of improving engineering velocity and consistency through common frameworks, platform services, design patterns, and developer tooling. - Experience building reusable infrastructure for AI products, such as orchestration layers, memory/context services, evaluation platforms, human-in-the-loop workflows, or policy and safety controls. - Familiarity with identity, discovery, trust, reputation, or graph-based systems relevant to large-scale agent collaboration. - Experience with GPU-accelerated systems or NVIDIA AI technologies such as NeMo, NIM, Nemotron, TensorRT-LLM, or AI Blueprints. Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 272,000 USD – 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 3, 2026. This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Salary not listed

CoreWeave

CoreWeave is seeking a Senior AI Platform Engineer to lead the design, implementation, and governance of AI tools for employees. This role involves owning the AI tools used daily across various platforms, ensuring their safe adoption through integrated identity, device, and tenant-level controls. The ideal candidate is passionate about AI's bleeding edge, enjoys rapid learning, and has a strong background in production software/SRE engineering, hands-on LLM/agent work, and enterprise IT controls. Success in the first year means enabling employees with frontier AI capabilities quickly and securely, establishing a robust AI operating framework, and building foundational controls for AI tool adoption.

$182k - $242k

NVIDIA is seeking a Senior Research Engineer to join their AI Developer Tools organization. This role focuses on building AI coding agents, models, datasets, and evaluations to empower CUDA developers with AI-powered coding tools. The team operates at the forefront of AI development, working on novel coding agents, fine-tuning code LLMs, publishing benchmarks, and contributing datasets for foundation models. This position offers the opportunity to apply AI research depth to a fast-paced, shipping-oriented team, influencing new projects and collaborating with product teams to integrate research into features used by both internal and external customers.

$224k - $431k

CoreWeave

As a Senior Forward Deployed Engineer (FDE), you will work directly with customers, embedding within their AI teams to help them build and deploy successful AI agents using the W&B Weave developer toolkit. This is a hands-on, customer-facing engineering role for individuals who thrive in high-impact environments, enjoy solving open-ended technical problems, and want to shape how leading organizations build with AI.

$182k - $242k

At NVIDIA OpenShell, we are building the runtime infrastructure for secure, scalable, production-grade AI agents. As an OpenShell Research Engineer, you will help bring the latest advances in agentic systems into the runtime, tools, and workflows that enterprise builders rely on. This role sits at the intersection of research, product, and engineering, requiring you to identify promising methods from academia and industry, validate their impact through prototypes and benchmarks, and help integrate the best ideas into the product.

$184k - $288k

At NVIDIA, we are at the forefront of AI innovation, aiming to define the next era of computing where our GPUs power intelligent systems. As a Developer Technology Engineer, you will collaborate with industry partners and contribute to open-source projects to enable professional agentic AI workflows at the edge, leveraging NVIDIA's RTX and DGX platforms. This role provides a unique opportunity to work with exceptional talent and significantly impact the evolving landscape of enterprise and consumer agentic AI.

$152k - $288k

Artificial intelligence is shifting from passive help to autonomous, always-on workflows. Our mission is to make this change seamless, efficient, and secure for millions globally. We seek a Principal Engineer to lead technical efforts in deploying advanced AI agent frameworks and local runtimes on Windows and NVIDIA GeForce RTX GPUs. You will guide development so open-source AI agents operate locally, safely, and efficiently on consumer PCs. By combining powerful local inference with strong privacy routers and sandboxed execution, you will help develop the foundation of the desktop AI operating system.

$272k - $431k

Move the needle in testing NVIDIA's embedded software! As a highly skilled and motivated senior software developer, you will push the boundaries for testing and automation. This role offers an outstanding opportunity to leave your mark on our verification strategy and influence our future test automation system. You will have a unique opportunity of pushing the boundaries and ensuring the perfect performance of Nvidia's embedded software systems where your contributions will directly impact the verification strategy and quality. Priorities do often change in a fast-paced environment like ours.

$152k - $253k

NVIDIA is seeking a Senior Staff Software Engineer to define the technical strategy for autonomous AI-driven enterprise operations. This role involves setting the architecture to transform IT from manual workflows into agentic platforms operating at a global scale. As a senior individual contributor, you will tackle complex technical challenges, establish industry standards for other engineering organizations, and make architectural decisions with long-term impact. Exceptional communication skills are essential for success in this influential position.

Salary not listed

Join the AI & Automation Supply Chain Business Transformations team at NVIDIA Operations to develop the future of agentic AI at scale. As a Senior AI Engineer, you will codify decision logic and implement decision intelligence, ensuring AI Agents deliver trusted, scalable, and innovative value. This is a unique opportunity to define AI agents for Supply Chain Operations within a leading AI company. If you are passionate about AI innovation and Supply Chain transformation, contribute to the future of agentic AI.

$224k - $357k

NVIDIA is seeking a Senior Staff AI Engineer to join its Finance AI team. In this role, you will be responsible for designing, building, evaluating, and operating AI-powered applications, agents, and automation critical to Finance operations. You will lead a team of coding agents, integrate new tools and technologies, and apply deep business knowledge to solve complex problems with AI. This is primarily an applied engineering position focused on leveraging foundation models, with opportunities to demonstrate the advantages of customized models over standard prompting and retrieval techniques.

$200k - $322k

NVIDIA's TensorRT team is seeking a Senior AI-Native Systems Software Engineer to lead a groundbreaking initiative focused on making TensorRT the global standard for out-of-framework inference. This role involves developing a novel, AI-native framework designed to leverage AI agents for producing high-performance, high-quality C++ software at scale. The ideal candidate is a systems-thinking C++ engineer passionate about advancing agentic development frameworks, staying abreast of deep learning advancements, and enhancing user experience through rapid model onboarding.

$152k - $288k

As a Senior Engineering Manager for Agentic Systems & Platform Architecture, you will lead the strategy and execution for NVIDIA’s agentic developer platform. This role involves deeply understanding how teams across the company build, evaluate, and improve autonomous agents, and translating these evolving patterns into scalable platform capabilities. You will identify gaps and friction, drive rapid proof-of-concepts on emerging agent constructs and ecosystem tools, and operationalize the best approaches into reusable building blocks, integrations, and governance mechanisms. The goal is to accelerate developer productivity and agent quality, enabling teams to safely ship more autonomous systems at NVIDIA scale.

$272k - $431k

NVIDIA is seeking a Senior AI Security Engineer to join their Agentic & AI Cybersecurity Research team. This role focuses on building AI-powered cybersecurity tooling, seamlessly interfacing humans, models, and computing artifacts to create secure environments. The engineer will transform complex problems and prototypes into practical, production-ready solutions, collaborating with research, security, product, and partner teams to develop robust codebases and accelerate AI cybersecurity advancements.

$184k - $357k

NVIDIA is seeking a highly technical Engagement Lead to drive the integration of Generative and Agentic AI software with enterprise ISV partners. In this role, you will serve as a trusted advisor to Software Platform Architects and unite teams behind a unified technical vision. You will remain hands-on, designing and shipping production agentic systems for demanding workloads while accelerating the adoption of NVIDIA's stack across key business initiatives. This position requires versatility at the intersection of platform strategy, a strong AI/ML background with hands-on execution, and the communication skills to engage with senior leaders. It's a high-impact role offering broad skill development and exposure to the cutting edge of Agentic AI, with insights directly shaping NVIDIA's product development.

$224k - $431k

NVIDIA is seeking a Principal Engineer to define and build core agentic identity capabilities that enable trusted AI agents across the company's internal ecosystem. This hands-on role involves translating complex problems into practical designs, prototyping solutions, and collaborating across identity, security, platform, and application teams to bring infrastructure into production. The goal is to evolve identity and security controls, originally designed for human users, to safely and reliably support non-human and agent-driven workflows as AI agents access tools, call APIs, and perform multi-step operations.

$240k - $380k