AI Agent Engineer Jobs

LILA is building a platform to enable scientists to go from hypothesis to results without context-switching between numerous tools. The Application Team integrates Machine Learning, Life Sciences, and Physical Sciences into a unified AI-native experience. AI is fundamental to the architecture, with agent frameworks, tools, and LLM orchestration as core components. The role involves tackling complex problems by connecting AI to automated lab workflows, ML pipelines, and multi-domain knowledge graphs, requiring the invention of new patterns. Engineers will collaborate closely with lab scientists and ML engineers, expanding their technical expertise and shipping impactful tools that accelerate research timelines.

$144k - $240k

Commerce is building a new team to deliver a suite of conversational AI agents that will span the B2B commerce lifecycle, from product discovery to post-sale support. These agents are being built on Google ADK with Gemini, featuring evaluation infrastructure in Braintrust and a streaming AG-UI frontend. As a Senior Backend Engineer specializing in AI agents, you will be instrumental in designing these agents, focusing on orchestration, sub-agent architecture, tool integration, prompt engineering, and establishing a robust evaluation discipline to ensure agent trustworthiness. Your work will be critical in ensuring agent quality through rigorous evaluation, making this a key ownership area for the team.

$116k - $195k

LILA is building a platform to enable scientists to seamlessly collaborate with AI, moving from hypothesis to results without context-switching between numerous tools. The Application Team integrates Machine Learning, Life Sciences, and Physical Sciences into an AI-native experience. This role involves designing and building agents, interfaces, and platform integrations that allow researchers to work with AI effectively. The work is challenging, requiring innovation in connecting AI to automated lab workflows and knowledge graphs, and offers opportunities to learn new domains and ship impactful tools that accelerate research.

$204k - $348k

JPMorgan Chase is seeking a Software Engineer III to join their Consumer & Community Banking team. In this role, you will be a key technical contributor responsible for enhancing, building, and delivering market-leading technology products securely and at scale. You will work within an agile team to develop critical technology solutions across various business functions, driving the adoption of AI-assisted engineering practices to improve code quality and delivery speed. This position offers a rewarding opportunity to advance your software engineering career by working on cutting-edge AI and LLM-powered solutions.

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Lila Sciences is building the world's first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of discovery by applying AI to every aspect of the scientific method to solve humankind's greatest challenges in human health, climate, and sustainability. We are a uniquely cross-functional and collaborative team that thrives in unstructured and creative environments, valuing diverse perspectives and transferable skills. If you are passionate about accelerating scientific discovery, we encourage you to apply.

$148k - $240k

AI Solutions, part of Mastercard’s AI & Data organization, scales AI across the enterprise, moving use cases beyond pilots into trusted, production-grade capabilities embedded in Mastercard’s platforms and products. Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. You will be joining a team of AI and data engineers working on innovative AI and ML fraud solutions. Our innovative cross-channel AI solutions are applied in Fortune 500 companies in industries such as fin-tech and payments processing. We are pursuing a highly motivated individual with strong problem-solving skills to take on the challenge of structuring and engineering data and cutting-edge AI model evaluation and reporting processes. This role will be reporting to the VP of AI Engineering for AI Solutions.

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PwC is seeking a Senior AI/ML Engineer to design, build, and deploy scalable Machine Learning, Generative AI, and Agentic AI systems within cloud environments. The role emphasizes productionization, automation, and delivering business impact through work on demand forecasting, RAG-based applications, autonomous multi-agent systems, and enterprise AI integration. You will be part of a purpose-led and values-driven organization that leverages technology to drive innovation and create tangible real-world impact.

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GB Intelligence is redefining how Global Banking operates by bringing AI-driven insights and workflow automation into the core of deal origination, market and sector intelligence, and client coverage. This is a rare opportunity to build production-grade AI capabilities that directly shape how bankers work, at the scale and complexity that only JPMorganChase can offer. You'll grow alongside a team of engineers who are passionate about turning cutting-edge technology into trusted, real-world impact. As a Senior Lead Software Engineer, you will be a hands-on engineer building AI capabilities that integrate directly into bankers' daily workflows. You will engineer secure services and data flows, develop agentic workflows, and help transform complex client, deal, and market data into trusted insights—operationalized across downstream systems to accelerate execution, strengthen risk discipline, and elevate the day-to-day experience for Global Banking teams. Your work will sit at the intersection of modern AI engineering and enterprise-grade reliability, where the quality of what you build has direct business consequence.

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Capital One is building responsible and reliable AI systems to transform banking. Leveraging extensive experience in machine learning and investments in technology, the company aims to be at the forefront of AI adoption. This role is within the Intelligent Foundations and Experiences (IFX) team, which is central to realizing this vision by advancing AI science and engineering, and deploying proprietary solutions that deliver value to millions of customers. The team's AI models and platforms empower other departments to enhance their products responsibly and scalably. You will help bring the transformative power of emerging AI capabilities to reimagine how we serve customers and businesses.

$230k - $262k

Capital One is building responsible and reliable AI systems to transform banking. We are an industry leader in using machine learning for personalized customer experiences and are at the forefront of leveraging AI. Our AI & ML applications bring humanity and simplicity to banking, and we are committed to building world-class applied science and engineering teams to deliver breakthrough product experiences and scalable, high-performance AI infrastructure. You will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses. The Intelligent Foundations and Experiences (IFX) team is central to realizing our AI vision. We collaborate with partners across the company to advance AI science and engineering, building and deploying proprietary solutions that are core to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with AI in responsible and scalable ways for maximum impact.

$197k - $225k

As a Lead Software Engineer at JPMorganChase, you will be an integral part of an agile team focused on enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. You will be a core technical contributor responsible for critical technology solutions across multiple technical areas within various business functions to support the firm's business objectives. This role involves designing, developing, and delivering scalable, secure, and resilient full-stack solutions, owning the end-to-end delivery lifecycle for strategic platform capabilities, and leading the design and development of cloud-native, containerized microservices. You will also drive technical architecture and design decisions, build high-performance backend services and APIs, develop modern operational and administrative user interfaces, and design and implement event-driven and streaming architectures. Additionally, you will champion engineering excellence through code reviews and mentoring, lead initiatives to improve application reliability and observability, and leverage enterprise-approved AI-assisted engineering tools to accelerate delivery and enhance productivity. A key aspect of this role is evaluating, designing, and implementing AI-powered and agentic solutions to optimize software development, operational workflows, and engineering processes.

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Abnormal Security

We are seeking an experienced Senior ServiceNow Platform Engineer to design, build, and operate enterprise-grade ServiceNow capabilities that support critical business operations. You will own platform stability, configuration, and optimization while driving strategic initiatives in automation, Agentic AI, and knowledge management. You will provide technical leadership and governance, manage the team's Agile backlog and ticket queue, write SOPs, and present platform metrics to IT management weekly.

$142k - $204k

The Agentic Runtime team builds the low-latency, reliable, and secure foundation that powers Glean’s AI agents and assistant experiences at scale. You’ll design and operate core runtime services for multi-turn orchestration, tool calling, model routing, memory, streaming, and safety. You’ll work across distributed systems, production observability, and ML infra integrations to deliver an experience that feels instant, accurate, and trustworthy — while optimizing cost and reliability.

$180k - $210k

NODA AI is seeking an AI/ML Engineer to design and implement intelligent agents for adaptive mission planning and orchestration across multi-domain unmanned systems. This role involves working with LLM orchestration frameworks, agent reasoning systems, and deploying AI models to edge computing environments on autonomous vehicles. You will build systems that translate high-level mission intent into actionable autonomous behaviors, dynamically adapt plans to changing environments, and provide explainable reasoning to human operators. The work integrates directly with a ROS autonomy stack and ensures reliable AI performance on resource-constrained edge hardware.

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Salesforce is seeking a Software Engineering, AI Systems professional to join Salesforce AI Labs. This role involves building a product that learns from human demonstrations to automate complex workflows across enterprise applications. You will tackle challenging engineering problems related to agent dependability, reasoning, and error recovery. The position offers the opportunity to work directly with customers, own substantial systems from design to deployment, and contribute to taking a new offering from early adoption to general availability, supported by Salesforce's scale.

$149k - $224k

JPMorgan Chase is leveraging AI to transform its global operations, with a significant annual investment in technology and innovation. The Machine Learning Center of Excellence (MLCOE), within the Chief Data & Analytics Office (CDAO), develops and implements AI and machine learning solutions to address complex business challenges and enhance financial products, productivity, and risk management. As a Summer Associate, you will apply advanced LLM and agentic AI methods to problems in areas like natural language processing, question answering, and reinforcement learning. You will own a research project from inception to completion, collaborating with mentors and business experts, gaining hands-on experience with real-world business problems at scale, and potentially contributing to published research or product pipelines. The program begins in June and offers mentorship, speaker series, and potential for full-time employment within a hybrid work model.

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Sierra

Sierra is seeking a Software Engineer Intern to join their team in London, focusing on customer-facing AI agents. This internship offers hands-on experience in designing, developing, and shipping features for AI agents used by major brands. Interns will learn from real-world applications at scale and contribute to shaping the future of AI technology. The role is ideal for students eager to gain practical experience in a fast-paced, innovative environment.

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Steel is building open-source browser infrastructure for AI agents and apps, enabling developers to ship AI products that interact with the web via their Sessions API. With significant growth and backing from world-class investors, Steel is assembling a talented team to shape the future of human-internet interaction. This internship offers the chance to work on real technical challenges, from scaling browser infrastructure to developing tools and experimenting with AI agents, with opportunities for ownership and shipping production code.

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Fin, now part of Salesforce, is seeking an Engineering Manager for its AI Group in Berlin. This is a hands-on role where you will lead a senior team of engineers, contributing directly to the codebase and the central AI system, architecture, and experimentation for Fin, the highest-performing AI Customer Agent on the market. You will be instrumental in shaping AI products from inception through to success, owning their ongoing development and operational health. This role is key to growing our Berlin hub and driving the future of AI in customer experience.

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OpenAI

The Agent Post-Training team at OpenAI is responsible for developing the frontier agents that are shipped to users. This involves training models for products like Codex and ChatGPT, focusing on creating persistent, proactive intelligence that can operate computers, collaborate with humans and other agents, and expand user capabilities. The team defines the next generation of agent abilities, builds the training signals, and runs experiments to realize these advancements. The role specifically focuses on teaching models to operate computers, including navigating browsers and desktops, using tools, reasoning through complex workflows, and completing long-horizon tasks reliably. This position is at the intersection of frontier model training, product behavior, evaluation, and systems engineering, directly influencing the computer-use capabilities of OpenAI's future agents.

$380k - $500k

Browserbase

Browserbase is seeking a Software Engineer to join the Agent Platform team. This team operates at the intersection of AI and open source, building developer tools that make browser automation smarter, simpler, and more powerful. You will be responsible for building, operating, and growing the Agent Platform framework, which includes developer-first APIs with significant monthly downloads and stars. The role involves designing and implementing tools for web automation, collaborating with leading AI labs to improve models and make them accessible, and deploying production-ready AI solutions that impact millions of users. You will also help define and prioritize projects that shape the future of developer tooling and contribute to documentation and knowledge sharing.

$180k - $300k

Anthropic

Anthropic is seeking Software Engineers to join the Memory & Search team, responsible for how Claude remembers users and finds information across Claude.ai, Cowork, and Claude Code. This role involves both user-facing experiences, such as how memory is displayed and edited, and the underlying infrastructure for memory services, indexing, retrieval, and vector search. The team has recently transitioned memory to a dynamic, editable system unified across products, and improved search functionality significantly. The focus is now on developing compelling product features that leverage memory and search, requiring engineers with experience in shipping user-facing products at scale, a strong sense for product quality, and expertise in building agentic systems where models, tools, and user interfaces collaborate. You will drive product experiments, analyze usage, and contribute to the team's product-centric approach. This role also involves close collaboration with product, design, privacy, legal, and safeguards teams to ensure features meet privacy and enterprise requirements.

$405k - $485k

Perplexity AI

The Enterprise Agent Evals & Efficiency team at Perplexity focuses on enhancing the capabilities of AI agents to perform real-world tasks across various enterprise connectors, tools, and data sources. The primary objective is to enable agents to select the appropriate tools, utilize relevant context, and execute complex workflows reliably, while minimizing time and computational resources. This role involves end-to-end ownership, from developing realistic enterprise evaluation environments to implementing improvements in the agent harness, tools, and skills. You will create intricate scenarios involving connected systems, data, and permissions to pinpoint agent weaknesses and refine the tools, skills, context, and models they employ. Collaborating with AI Research, Connectors, and Platform teams, you will translate experimental findings into tangible improvements in task success rates, latency, and cost efficiency.

$220k - $405k

Cresta

As a Senior Software Engineer, you will be responsible for ensuring Cresta's AI Agents are supported by the most reliable and scalable server solutions. This involves designing and maintaining the server architecture to handle high-volume, real-world interactions with a focus on high availability and performance. While the role emphasizes server optimization and data management over pure research, you will work with advanced cloud and server technologies. This is a significant opportunity to influence the future of AI at Cresta by tackling complex challenges and deploying cutting-edge AI advancements into production.

$205k - $270k