Senior Staff Software Engineer, Agentic AI Systems

Join our innovative team at ServiceNow as a Senior Staff Software Engineer specializing in Agentic AI Systems. In this critical role, you will lead the design, development, and implementation of cutting-edge AI solutions that enhance our customer experience and drive operational efficiency. You will work collaboratively with cross-functional teams to create scalable and robust systems that utilize advanced machine learning techniques.

Join our innovative team at Moveworks as a Senior Software Engineer, specializing in Agentic AI Systems. You will play a pivotal role in developing advanced AI solutions that enhance workplace efficiency and empower users with intelligent automation. Your expertise in software engineering will allow you to contribute to cutting-edge projects that redefine the interaction between technology and users.

The Role Are you an accomplished software engineer eager to apply your expertise in a pioneering environment focused on AI agents? If so, this opportunity might be the perfect fit for you. As a senior software engineer on our innovative 'Agent Lab' team, specializing in Natural Language Understanding, you will significantly contribute to our mission: to expand the scope of tasks that can be reliably performed by agents at scale. You will have the chance to shape the future of the Moveworks AI Assistant platform across various domains, including agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. Equipped with cutting-edge tools in enterprise AI, including top-tier LLMs from providers such as OpenAI, our team prioritizes rapid development on scalable infrastructure, tackling complex product and engineering challenges, and maximizing the value delivered to our customers. If you're looking to create meaningful impact alongside a talented, dedicated, and mission-driven team, we would love to discuss this opportunity with you. What You Will Do: Confront exciting and complex engineering challenges to develop and enhance robust AI agent systems that demonstrate reliability in all aspects. Implement leading-edge AI algorithms and architectures, ensuring their successful deployment at scale. Leverage the latest advancements in machine learning, LLMs, and AI agents to enrich our products and deliver exceptional user experiences. Contribute to the product roadmap and drive the development of engineering areas with increasing scope and significance, creating lasting value for our customers. Refine your skills in writing clean, extensible, readable, and high-performing code. Collaborate with subject matter experts across various departments, including machine learning, security, product, user experience, and customer success, to share knowledge and build the most exceptional enterprise AI product. Mentor fellow engineers on best practices for building, maintaining, and evolving high-quality software. Work closely with machine learning engineers, fostering a collaborative environment to build world-class AI systems. What You Bring To The Table: 2+ years of experience in designing, building, and enhancing production systems, preferably at scale. Strong analytical skills with the ability to clearly articulate complex engineering problems and systems. Proficient in programming languages and frameworks relevant to the development of AI systems. A passion for learning and staying updated with the latest trends in AI and software engineering.

The Role Are you an accomplished software engineer eager to leverage your expertise in designing and enhancing production systems at the forefront of AI technology? If so, this opportunity might be the perfect fit for you. As a senior software engineer within our dynamic “agent lab” Natural Language Understanding team, you will play a pivotal role in our mission: to expand the capabilities of AI agents to operate reliably at scale. You will have the chance to influence the progression of the Moveworks AI Assistant platform across various domains, including agent orchestration, sandboxed file systems, latency optimization, agent memory, and more. With access to state-of-the-art AI tools, including leading LLMs from OpenAI, you will be at the cutting edge of technology. Our team prioritizes rapid development on scalable infrastructure while tackling complex engineering challenges and enhancing the value we deliver to our customers. If you are ready to make a significant impact alongside a passionate and dedicated team, we would love to hear from you.

The RoleAre you a talented software engineer eager to leverage your extensive experience in developing and enhancing production systems at the forefront of AI technology? If so, we invite you to consider our Staff Software Engineer position on the Natural Language Understanding team within our 'agent lab'. In this pivotal role, you will contribute significantly to our mission of extending the capabilities of AI agents to execute tasks reliably on a large scale.As part of the Moveworks AI Assistant platform, you will lead the innovation in areas such as agent orchestration, sandboxed file systems, latency optimization, agent memory, and the advancement of LLMs (Large Language Models). Our team thrives on rapidly developing scalable infrastructure and tackling complex product and engineering challenges to maximize value for our customers. If you aspire to achieve the pinnacle of your career while working with a passionate and impactful team, we would love to connect with you.What You Will Do:Lead and tackle challenging engineering projects to create and enhance dependable AI agent systems.Define and implement cutting-edge distributed systems, ensuring their scalability and production readiness, while integrating the latest advancements in machine learning and AI.Set technical direction and influence the engineering roadmap to deliver enduring value to our clients.Establish high standards for code quality, including robustness, extensibility, and performance.Collaborate with senior experts across various domains, including machine learning, security, product development, and customer success, to build world-class enterprise AI solutions.Mentor and develop team engineers, focusing on technical design, execution, and excellence.Work closely with machine learning engineers to define and develop end-to-end architecture for outstanding AI systems.

Join the innovative team at Moveworks as a Senior Software Engineer focusing on our cutting-edge Agentic AI Platform. You will play a pivotal role in developing scalable AI solutions that enhance workplace productivity and efficiency. Your expertise will help shape the future of AI-driven support systems that empower users and streamline operations.

At Databricks, we are committed to empowering data teams to tackle some of the world's most significant challenges—ranging from revolutionizing transportation to accelerating medical breakthroughs. Our mission is realized through the development and management of the foremost data and AI infrastructure platform, enabling our clients to derive deep insights from their data to enhance business outcomes. Founded by engineers and driven by a passion for customer success, we eagerly embrace each opportunity to confront technical hurdles, from innovating next-generation UI/UX for data interaction to scaling our services across millions of virtual machines. Our journey has just begun.As a Senior Staff Software Engineer, you will be a pivotal member of the executive leadership team within the Data Platform organization. You will utilize cutting-edge AI developer tools and methodologies to construct the Data Intelligence Platform, which will facilitate automated decision-making across Databricks. This role involves collaboration with distinguished Tech Leads, product teams, data scientists, and others. You will shape the future of various tools, including logging, orchestration, data transformation, metric stores, governance platforms, and data consumption layers.

The Enterprise Applications team at Databricks is embarking on an exciting journey to redefine our business operations. Our objective is to develop robust, in-house platforms and AI-driven capabilities that deliver a significant competitive edge, propelling us towards doubling our size and revenue.As a Senior Staff Software Engineer within the Enterprise Applications team, you will be pivotal in designing and implementing end-to-end applications that enhance our business functionalities and equip our employees with truly assistive technologies. Your responsibilities will include defining the technical roadmap, designing essential software systems, elevating engineering standards, mentoring junior engineers, and addressing the most complex technical challenges the team faces. You will serve as the technical leader for a team of talented software engineers.

The Role Join our innovative team as a Software Engineer specializing in Agentic AI Systems as a new graduate. If you have developed your programming expertise through internships, research, or academic projects and are eager to apply your skills at the forefront of AI technology, we encourage you to consider this exciting opportunity. As a valued member of our Natural Language Understanding team within the 'agent lab', you will contribute significantly to our mission of enhancing the capabilities that agents can reliably perform at scale. Your work will involve advancing the Moveworks AI Assistant platform in areas including agent orchestration, sandboxed file systems, latency optimization, agent memory, LLM self-improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. Equipped with state-of-the-art enterprise AI tools, including leading LLMs from providers like OpenAI, you will engage in rapid development on scalable infrastructure, tackle challenging engineering problems, and maximize the value we deliver to our customers. If you are excited about making a meaningful impact alongside a dedicated team, we would love to hear from you. What You Will Do: Engage in engineering challenges to build and enhance robust AI agent systems. Implement cutting-edge AI algorithms and architectures, collaborating closely with senior engineers to ensure scalability. Leverage the latest advancements in machine learning, LLMs, and AI to enhance our products and create exceptional user experiences. Contribute to projects that generate lasting value for our clients. Refine your skills in writing efficient, maintainable, and high-performance code. Collaborate with experts across various domains, including machine learning, security, product management, user experience, and customer success, to create the premier enterprise AI product. Learn from and work with senior engineers and machine learning experts to develop world-class AI systems.

Join our dynamic team at LinkedIn Corporation as a Senior Staff Software Engineer specializing in Systems Infrastructure. In this pivotal role, you will be responsible for designing, implementing, and maintaining robust infrastructure systems that support our growing platform. You will collaborate with cross-functional teams to drive innovation and optimize our systems for scalability and performance.

What You Will Do:Are you ready for an exhilarating challenge? Imagine yourself enhancing and scaling a state-of-the-art Generative AI product that provides immediate support to enterprise users. If you're curious about how to implement abstraction, scalability, and optimization in a dynamic, probabilistic, and generative conversational system, we encourage you to join our Conversation Engine team. At Moveworks, you will be at the forefront of our Generative AI product, focusing on scaling and optimizing it to cater to the increasing demands of the enterprise solution market. Explore our latest insights on Moveworks's innovative solutions for enterprise AI, including Moveworks Live and Creator Studio. As leaders in the enterprise AI space, we invite you to contribute your creative ideas and vision to tackle unprecedented challenges. You will work closely with machine learning specialists and cross-functional teams, swiftly iterating on new concepts and utilizing user behavior data to inform your decisions. Your primary responsibility will be to scale and refine our conversation engine to handle hundreds of millions of users across various chat channels and applications, while enhancing our end-to-end product infrastructure with exceptional engineering quality and durability.Build a robust product infrastructure with intuitive interfaces that enable engineers and configurators to easily customize and enhance generative AI models. This includes gathering data and feedback, adapting to a range of enterprise applications and business contexts, and delivering tailored conversational experiences.Develop scalable API abstractions for our conversation platform, compatible with major chat clients such as Microsoft Teams, Slack, and Web, while offering a versatile API for integrating other components of the engineering ecosystem.Enhance the dialogue engine to support a variety of conversational features, leveraging proprietary domain knowledge unique to each enterprise client in the cloud, and facilitating real-time multilingual translation. You will accomplish this with a minimal memory footprint, reduced latency, and an efficient development process for application engineers.Promote best coding practices, API design, scalability, robustness, and optimization. Cultivate a culture of excellence and continuous improvement among fellow engineers.Deliver comprehensive insights and visibility into the performance of our conversational AI product.

Role OverviewAre you ready to take on a thrilling challenge? Imagine scaling and fine-tuning a revolutionary Generative AI product that delivers immediate support to enterprise users. If you're intrigued about how to implement abstraction, scalability, and optimization within a dynamic, probabilistic, and generative conversational framework, we want you on our Conversation Engine team. At Moveworks, you will play a pivotal role at the heart of our Generative AI initiatives, focusing on enhancing and optimizing our solution to cater to the escalating needs of the enterprise landscape.Join us in exploring our recent innovations, including Moveworks Live and Creator Studio, which showcase our groundbreaking contributions to enterprise AI. As trailblazers in this field, we don't adhere to a formula for crafting solutions; we encourage you to unleash your creativity and tackle unsolved challenges.You will work closely with machine learning experts and interdisciplinary teams, rapidly iterating on innovative ideas while utilizing user behavior data to inform your decisions. Your mission will be to scale and enhance our conversation engine to support hundreds of millions of users across various chat channels and applications, ensuring our end-to-end product infrastructure remains of the highest engineering quality and durability.Develop a comprehensive product infrastructure featuring intuitive interfaces that allow engineers and configurators to effortlessly customize and optimize generative AI models. This includes gathering data and feedback, adapting to various enterprise use cases, and delivering domain-specific conversational experiences.Create scalable API abstractions for our conversation platform that support all major chat clients (such as MS Teams, Slack, and Web) and provide a neutral API for further engineering developments.Enhance the dialog engine to support a wide array of conversational functionalities, leveraging proprietary domain knowledge unique to each enterprise client, while enabling real-time multilingual translation with minimal memory usage and low latency.Promote best practices regarding coding patterns, API design, scalability, robustness, and optimization, fostering a culture of excellence and continuous improvement among your engineering peers.

Role Overview matx is hiring an AI Runtime System Software Engineer focused on the Linux Kernel. This position is based in Mountain View, CA. What You Will Do Design and build software to improve the performance and efficiency of AI systems. Work with the Linux Kernel to support advanced AI workloads. Your contributions will help drive the next generation of artificial intelligence technology.

Join our team at LinkedIn as a Senior Staff AI Engineer focused on Network Growth AI, where you will lead innovative projects that drive the expansion and optimization of our AI-driven networking solutions. This role offers an exciting opportunity to work with cutting-edge technology and collaborate with top industry professionals.

Join our innovative team at LinkedIn as a Senior Staff Software Engineer focused on AI Infrastructure. In this role, you will leverage your expertise to build and enhance scalable AI systems that empower millions of users worldwide. You will collaborate with cross-functional teams to develop efficient algorithms and contribute to cutting-edge projects that drive our commitment to AI excellence.

Join Moveworks as a Senior Software Engineer and be at the forefront of innovation in the Agentic AI Product space. In this role, you will develop and enhance cutting-edge solutions that leverage artificial intelligence to transform organizational workflows. Collaborate with a dynamic team of engineers and product managers to bring intelligent automation to life.

Join Nuro as a Senior Software Engineer focused on GenAI Infrastructure and Agent Systems. In this pivotal role, you will leverage cutting-edge artificial intelligence technologies to enhance engineering efficiency across our platforms. You will be responsible for designing and implementing scalable systems that drive automation and optimization in our engineering processes.

P-186 At Databricks, we are passionate about empowering data teams to tackle some of the world's most challenging problems, from detecting security threats to advancing cancer drug development. Our mission is to build and operate the premier data and AI infrastructure platform, allowing our customers to concentrate on the high-value challenges central to their missions. Since our inception in 2013 by the original creators of Apache Spark™, Databricks has transformed from a small office in Berkeley, California, into a global powerhouse with over 1,000 employees. Today, thousands of organizations—from startups to Fortune 100 companies—trust Databricks with their mission-critical workloads, solidifying our status as one of the fastest-growing SaaS companies worldwide. Our engineering teams are dedicated to developing highly technical products that address real-world needs. We continuously push the limits of data and AI technology while ensuring the resilience, security, and scale essential for our customers' success on our platform. We manage one of the largest-scale software platforms, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we routinely encounter cloud hardware, network, and operating system faults, and our software must adeptly shield our customers from these challenges. In modern data analysis, sophisticated techniques such as machine learning extend far beyond the traditional SQL query engine's roll-up and drill-down capabilities. As a software engineer on the Runtime team at Databricks, you will contribute to building next-generation distributed data storage and processing systems that not only surpass specialized SQL query engines in relational query performance but also offer the expressiveness and programming abstractions necessary to support varied workloads, ranging from ETL to data science. Here are some example projects you might work on: Apache Spark™: Develop the de facto open-source standard framework for big data. Data Plane Storage: Provide reliable and high-performance services and client libraries for storing and accessing massive amounts of data on cloud storage backends like AWS S3 and Azure Blob Store. Delta Lake: A storage management system that merges the scale and cost-efficiency of data lakes with the performance and reliability of data warehouses, along with the low latency of streaming. Its higher-level abstractions, including ACID transactions and time travel, significantly simplify real-world data engineering architecture. Delta Pipelines: Managing a single data engineering pipeline can be challenging. The objective of the Delta Pipelines project is to streamline this process.

P-59 At Databricks, we are driven by a mission to empower data teams to tackle some of the most pressing challenges facing our world. Whether it's transforming transportation or accelerating medical innovations, we achieve this by creating and operating the foremost data and AI infrastructure platform. Our customers leverage deep data insights to enhance their business operations. Founded by engineers with a relentless commitment to customer satisfaction, we eagerly embrace every opportunity to address technical challenges—from designing cutting-edge UI/UX for data interaction to scaling our services across millions of virtual machines. And this is just the beginning. In modern data analysis, advanced techniques such as machine learning surpass the capabilities of conventional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be instrumental in developing next-gen distributed data storage and processing systems that not only outperform specialized SQL query engines in relational query performance but also offer the flexibility and programming abstractions necessary to support a diverse range of workloads, from ETL processes to data science applications. Key projects you might work on include: Apache Spark™: Contribute to the leading open-source framework for big data. Data Plane Storage: Deliver reliable, high-performance services and client libraries for managing vast amounts of data on cloud storage solutions like AWS S3 and Azure Blob Store. Delta Lake: A sophisticated storage management system that merges the scalability and cost-effectiveness of data lakes with the performance and reliability of data warehouses, offering features such as ACID transactions and time travel to simplify complex data engineering architectures. Delta Pipelines: Simplify the management of extensive data engineering pipelines, allowing customers to effortlessly orchestrate, deploy, test, and upgrade thousands of data pipelines while minimizing operational burdens. Performance Engineering: Develop the next-generation query optimizer and execution engine that is fast, tuning-free, scalable, and robust.

Join Our Team as a Senior Software Engineer II!Are you ready for an exhilarating challenge? Imagine being at the forefront of a transformative Generative AI product that delivers immediate assistance to enterprise users. If you're intrigued by the prospect of applying abstraction, scalability, and optimization to a dynamic, probabilistic, and generative conversational system, we want you on our Conversation Engine team. Here at Moveworks, you'll have a unique opportunity to work at the heart of our Generative AI product, focusing on scaling and optimizing it to meet the increasing demands of the enterprise landscape.As pioneers in enterprise AI, we encourage your innovative ideas and creativity to tackle unsolved challenges. You'll collaborate with machine learning experts and cross-functional teams, rapidly iterating on new concepts and leveraging user behavior data for informed decision-making. Your mission will be to scale and enhance our conversation engine to support hundreds of millions of users across various chat channels and use cases while ensuring the highest engineering quality and robustness.Develop a comprehensive product infrastructure with intuitive interfaces to enable engineers and configurators to easily customize and optimize generative AI models, adapting to diverse enterprise use cases and delivering domain-specific conversational experiences.Create scalable API abstractions for our conversation platform that supports all popular chat clients like MSTeams, Slack, and Web, providing a neutral API for other engineering systems.Optimize the dialog engine for a wide range of conversational features, utilizing unique private domain knowledge of each enterprise customer in the cloud, and enable real-time multilingual translation with minimal memory usage and low latency.Promote best practices for coding patterns, API design, scalability, robustness, and optimization, fostering a culture of excellence and continuous improvement among your peers.