Software Engineering Manager - Platform Team

About Us Nuro is a pioneering self-driving technology firm dedicated to democratizing autonomy. Established in 2016, we are at the forefront of creating the world's most scalable autonomous driver, merging advanced AI with automotive-grade hardware. Our innovative technology, the Nuro Driver™, is licensed for diverse applications, including robotaxis, commercial fleets, and personal vehicles. With years of successful self-driving deployments, Nuro is paving the way for automakers and mobility platforms to adopt autonomous vehicles at a commercial scale—fostering a future that is safer, richer, and more interconnected. Role Overview As a Software Engineering Intern at Nuro, you will collaborate with top professionals in machine learning, robotics, and software development. Depending on your expertise and interests, you may contribute to various teams, including Data Platform, Onboard Systems, ML Infrastructure, Simulation, or Technical Infrastructure. Key Responsibilities Data Platform: Engage with a comprehensive data management system for Nuro's AI Driver, overseeing data annotation in areas like 2D/3D perception, mapping, and behavior trajectory. You will also work on data ingestion and mining techniques. Onboard Systems: Collaborate with software and hardware teams to ensure the seamless integration of autonomy software across self-driving platforms, addressing onboard errors and performance issues. ML Infrastructure: Assist in developing solutions that enhance machine learning capabilities at Nuro, including distributed training platforms and model component libraries. Simulation: Participate in the creation of advanced simulation models that facilitate testing and validation of autonomous technologies.

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.

Who We Are Nuro is a pioneering self-driving technology firm dedicated to making autonomous driving accessible to everyone. Established in 2016, Nuro is at the forefront of developing the world’s most scalable driver, merging advanced artificial intelligence with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed to enable a variety of applications, from robotaxis and commercial fleets to personal vehicles. With a proven track record from years of self-driving implementations, Nuro provides automakers and mobility platforms with a straightforward pathway to commercial-scale autonomous vehicles, fostering a safer, more connected future. About the RoleOur software engineering team is expanding, and we are seeking talented graduates who will complete their studies by July 2026. You will have the opportunity to contribute significantly to one of the following domains: Data Platform, Onboard Systems, Machine Learning Infrastructure, Simulation, or Technical Infrastructure teams. About the Work Depending on your expertise and interests, you may work on some or all of the following: Data Platform: Manage and optimize Nuro AI Driver's data, labels, and metrics, ensuring seamless access and functionality. This team focuses on data annotation in diverse fields like 2D/3D perception, mapping, behavior trajectories, and language/text. Responsibilities also include data ingestion and mining, utilizing heuristic methods and embedding search, while supporting autonomy evaluation infrastructure through detailed introspection. Onboard Systems: Our onboard systems team develops reliable, high-performance platforms that enable integration of autonomy software and algorithms across various self-driving platforms. This role necessitates close collaboration with software, hardware, and systems/safety teams to ensure that new software and hardware function safely and effectively, addressing any onboard errors and performance issues. Technical Infrastructure: This group is responsible for essential services across the engineering organization, including a generic compute platform for mission-critical workflows such as data processing and simulation, a storage management service for handling hundreds of petabytes of data, cloud infrastructure as IaaC for resource provisioning and maintenance, and engineering productivity tools like CI/CD to enhance efficiency.

Speechify aims to remove barriers to learning using technology that makes reading more accessible. With a user base of over 50 million, the platform converts materials like PDFs, books, Google Docs, news articles, and websites into audio. This helps people read faster and retain more. Products include apps for iOS, Android, Mac, a Chrome extension, and a web app. Speechify has earned recognition from Google as Chrome Extension of the Year and received the 2025 Apple Design Award for Inclusivity. The company operates with a fully distributed team of about 200 people. Team members include frontend and backend engineers, AI research scientists, and professionals from organizations such as Amazon, Microsoft, Google, Stripe, and Vercel. Role Overview The Software Engineer, Platform role centers on designing, building, and maintaining backend services. These services include payments, analytics, subscriptions, text-to-speech features, and external APIs. The position suits engineers who think strategically, enjoy working in a fast-moving setting, and care about delivering strong user experiences. Speechify uses a flat organizational structure. Team members are encouraged to show leadership through technical skill and consistent results. The company values work ethic, clear communication, and a drive to succeed. What You Will Do Design, develop, and maintain APIs, including public text-to-speech (TTS) APIs and internal services for payments, subscriptions, and consumption tracking. Ensure these systems meet business and scaling needs. Manage and improve the backend API landscape, focusing on performance and maintainability. Collaborate on B2B solutions, especially for enterprise client customization and integration. Work with cross-functional teams to align backend architecture with product strategy and user experience goals. Interview Process The interview process includes several technical assessments. Speechify aims to complete the process within one week.

Join us as a Senior Software Engineer on the Core Platform team at Moveworks, where you will significantly contribute to the advancement of our conversational AI platform. In this role, you will have the chance to develop enterprise products that tackle real-world challenges using our cutting-edge machine learning technology. Your responsibilities will include creating foundational frameworks and services that abstract product needs, providing scalable and reliable components, and establishing an enterprise data platform tailored for diverse product requirements.Design and implement highly reliable, performant, and secure platform components.Shape the platform team's roadmap while taking ownership of the evolution of multiple platform areas.Collaborate with cross-functional engineering teams to deliver integrated solutions.Consistently meet deadlines on projects that are interdependent with other engineering efforts.Challenge existing processes and drive continuous improvement within the platform.Participate regularly in peer code reviews and engineering design discussions.

Company OverviewDeductive AI is pioneering the development of the world's first real-time reasoning engine designed to identify and mitigate large-scale software outages by analyzing distributed systems, code, and statistical anomalies in real-time across vast telemetry data (including metrics, logs, traces, and events). Our talented team comprises industry veterans with extensive experience in managing large-scale production systems from renowned companies such as Databricks, Facebook, Thoughtspot, Google, Splunk, and Amazon. We are proudly backed by some of the most prestigious venture capitalists in Silicon Valley and are fortunate to have the support of exceptional investors and advisors.Internship RoleWe are actively seeking enthusiastic interns for the Fall 2024 season. This paid internship position will take place on-site at our Mountain View, CA office. As a Software Engineering Intern at Deductive AI, you will contribute to the creation of the next generation of core coding and data processing systems that can intelligently analyze substantial volumes of structured and unstructured data. This role presents exciting technical challenges as you tackle intriguing problems at the intersection of artificial intelligence, code comprehension, and data analytics.

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.

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.

At Reliable Robotics, we're pioneering cutting-edge technology to enhance safety in aviation, ultimately saving lives. Our vision for automated aviation systems is to create a future where air transportation is safer, more efficient, and transformative in the movement of goods and people across the globe. Our team is composed of dedicated engineers with backgrounds in aerospace, robotics, and autonomous vehicles, all striving to bring this vision to life.As a Software Engineer specializing in Test Platforms, you will be instrumental in developing the tools that support our testing and verification processes, ensuring the safety and reliability of our aviation products. Additionally, you will contribute to crafting a high-fidelity training environment for our flight-test teams.Key ResponsibilitiesIn this role, you will shape integrated verification procedures to affirm that our flight application software meets rigorous design and performance standards. You will play a vital role in the release and verification processes for flight software, a core aspect of our flight test program. Collaborating in a dynamic environment, you will coordinate with various engineering teams as you develop test plans, execute tests, troubleshoot issues, and facilitate prompt resolutions. Furthermore, you will have opportunities to create automated test frameworks, build analytical test tools, and enhance our hardware-in-the-loop testing capabilities. This is a hands-on position, requiring maintenance, installation, and troubleshooting of test and simulation equipment.Basic QualificationsMinimum of 2 years of professional experience in object-oriented Python developmentMinimum of 2 years of professional experience in object-oriented C++ developmentAt least 2 years of experience in testing integrated hardware/software products or mission-critical systemsBachelor's degree in Computer Science, Computer Engineering, or a related fieldPreferred QualificationsExperience in robotics or other safety-critical software domainsFamiliarity with developing automated test cases using GitHub Actions, Jenkins, Travis CI, or similar CI/CD toolsProven capability in building or maintaining hardware-in-the-loop (HITL) test environments

About UsAt Aurora, our mission is to revolutionize transportation through safe and efficient self-driving technology, making it accessible to everyone.Explore the Aurora Driver and discover how we are paving the way for a new era in mobility and logistics.Join our team of dedicated professionals at Aurora, where you will engage in complex challenges and continuously enhance your expertise in a collaborative atmosphere. For updates, visit aurora.tech or connect with us on LinkedIn.We are on the lookout for a skilled and driven Staff Software Engineer to spearhead a new team focused on enhancing and modernizing our Offline Testing Infrastructure (OTI). OTI serves as a vital middle-layer infrastructure that supports our PR testing, test creation, and Verification & Validation (V&V) processes.This role is critical, with a strong emphasis on increasing the efficiency of our engineering teams and ensuring the reliability of our release cycles. The ideal candidate will build and lead a small, dedicated team to transition OTI to a stable, high-performance, and scalable platform.Responsibilities:Team Leadership: Act as the technical lead for the OTI team, guiding the strategic vision, execution, and long-term stability of our core infrastructure.Testing Ecosystem Development:Design a next-generation offline testing architecture that meets diverse team requirements, minimizes redundancy, and fosters collaboration across the organization.Collaborate with Test Creation and Test Drive teams to...

Harness is at the forefront of AI-driven software delivery, founded by the visionary technologist Jyoti Bansal, who previously established AppDynamics, leading to its acquisition by Cisco for an impressive $3.7 billion. With approximately $570 million raised in funding and a valuation of $5.5 billion, Harness is supported by prominent investors such as Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. As AI transforms code generation, the critical bottleneck has shifted to the post-coding phase, including testing, deployments, application security, reliability, compliance, and cost optimization. Harness leverages AI and automation to streamline these processes, empowering teams to deliver software more efficiently while ensuring security and governance throughout the software delivery lifecycle.Utilizing Harness AI and the Software Delivery Knowledge Graph, our platform integrates deep contextual insights and intelligent automation across the software delivery landscape, embedding governance and policy-driven controls throughout.In just the past year, Harness has facilitated over 185 million deployments, 82 million builds, and 18 trillion flag evaluations, alongside conducting 8 million security scans, optimizing 9.1 billion tests, and protecting 3 trillion API calls. We have effectively managed $2.8 billion in cloud expenditures, assisting clients such as United Airlines, Morningstar, and Choice Hotels in accelerating their release cycles by up to 75%, reducing cloud costs by up to 60%, and achieving a remarkable 10x improvement in DevOps efficiency.With a diverse global workforce spanning 14 offices in 25 countries, Harness is pioneering the future of AI-driven software delivery, and we are on the lookout for extraordinary talent to join us on this exciting journey.Position SummaryJoin us as a Senior Software Engineer in a dynamic, high-growth startup environment. As part of the Platform team, you will architect, design, develop, and deliver top-notch software solutions that significantly influence our product offerings.About the RoleDesign and implement scalable platform featuresCreate comprehensive software functional specifications and design documentationQuickly grasp complex systems and code, taking ownership of critical components, including their qualityCollaborate with cross-functional teams to drive innovation and efficiency

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.

About UsAt MAI, we are driven by a vision to make advanced advertising technology accessible to all. Our innovative platform harnesses the power of AI to automate and enhance performance marketing, enabling small and medium-sized businesses to increase their advertising effectiveness without the need for costly agencies or extensive manual management.Founded by industry experts from Google and Instacart, we are proud to have secured $25 million in Seed funding led by Kleiner Perkins to fuel our growth. This investment will allow us to expand our product and engineering teams as we bring our vision of intelligent marketing to reality. Our AI agents have already demonstrated their capabilities, driving 40% more sales and managing millions in monthly ad spend. With a rapidly growing client waitlist, we are excited to shape the future of growth marketing.Why Join Us Now?As we venture into the uncharted territory of building infrastructure for intelligent agents, your role as a Software Engineer Intern at MAI will be pivotal. You will not only write code; you will help design the ecosystem for our AI agents to thrive and evolve. This is a unique opportunity to apply your research expertise to real-world challenges that have a significant impact.This internship offers the chance to contribute to the development of a truly AI-first product while solving industry-leading problems. You will be part of a small, agile team of fewer than ten engineers, where your contributions will be significant and influential in shaping the future of our company. We are in the early stages of forming three core teams:Product Engineering & InfrastructureAI Platform & FoundationAgent Application & QualityTake advantage of this opportunity to enhance your skills and grow as an engineer. We encourage you to leverage your strengths while exploring new projects, learning from your peers, and becoming a more versatile engineer.

About Us Nuro is at the forefront of self-driving technology, striving to make autonomous driving accessible to everyone. Established in 2016, we are dedicated to developing the world’s most scalable driver by merging advanced artificial intelligence with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed across various applications, including robotaxis, commercial fleets, and personal vehicles. With proven technology from years of successful self-driving deployments, we provide automakers and mobility platforms with a clear pathway to commercial-scale autonomous vehicles, paving the way for a safer, more connected future. Role Overview At Nuro, we prioritize a machine-learning-centric approach to autonomous driving. The performance of our systems relies significantly on the volume and diversity of training and evaluation data. Our team is vital in enhancing autonomous driving systems by ensuring high-quality labeled data accessibility. This is achieved through a sophisticated labeling stack that includes a workflow execution framework, supporting infrastructure, and an array of data annotation tools. Our autonomy stack is powered by an industry-leading sensor suite, capable of efficiently processing and annotating millions of sensor data points weekly. The platform team's mission is to ensure that labeled data is readily available for all users. Our systems must be dependable and scalable, encompassing everything from request submissions to progress tracking, data dumping, and model development. We work closely with autonomy engineers to guarantee the labeled data's quality and comprehensiveness. As Nuro expands its services, it becomes increasingly critical to capture and promptly triage all issues. Key Responsibilities Develop and maintain highly available and fault-tolerant systems for data annotation. Productionize core infrastructure for our cutting-edge autonomy system. Enhance label quality through data-driven metrics and monitoring. Leverage state-of-the-art ML research to automate and optimize the data labeling lifecycle. Qualifications Bachelor's or Master's degree in a relevant field with 5+ years of industry experience. Proven experience in designing, building, and operating highly scalable and reliable distributed data systems. Demonstrated ability to lead cross-functional projects with strong communication skills. Expertise in data processing and machine learning techniques.

About CreatifyAt Creatify, we are pioneering the world's first comprehensive AI advertising agent. Our innovative platform automates the entire video advertising lifecycle—from scripting and avatar-generation to testing, optimization, and multi-platform publishing, including Meta, TikTok, and YouTube.In just 18 months, we have achieved over $10 million in ARR, empowering more than 1.5 million users across 10,000+ teams. Esteemed brands such as Alibaba, HubSpot, Binance, NewsBreak, and Zumper leverage Creatify to create personalized and high-performing video ads in mere minutes.Backed by $24 million in funding from top Silicon Valley investors, including WndrCo, Kindred Ventures, and Comcast Ventures, we are proud to have been featured in media outlets like Fast Company and TechCrunch, as well as being recognized in the IVP Enterprise AI 55 in 2024.Located in Mountain View, we are a passionate team of AI researchers, engineers, and advertising experts. Join us in transforming the advertising landscape with AI.About this RoleCreatify is looking for a full-time Software Engineering Intern (Full-Stack) to support our engineering efforts in enhancing our AI-driven video advertising platform.As an intern, you will collaborate closely with engineers, product managers, and designers to contribute to real product features within both frontend and backend systems.This internship offers a hands-on learning experience in a dynamic startup environment, allowing you to contribute to production-level code and systems.Start Date: We prefer candidates who can start immediately, as this role is not based on a cohort system.Work Authorization: Applicants must be authorized to work in the U.S., and we encourage submissions from those eligible under CPT or OPT.ResponsibilitiesYou will be responsible for...

About Contextual AI At Contextual AI, we are pioneering a transformation in the way AI Agents operate by tackling the most pressing challenge in AI: context. By providing the right context at the right moment, we enable enterprises to achieve the precision and scalability they need from AI. Our robust enterprise AI development platform bridges the gap between cutting-edge AI research and the practical needs of developers. Our comprehensive platform simplifies the process for AI developers to seamlessly ingest and query documents from enterprise data sources, integrating retrieval outcomes into their business workflows effortlessly. Founded by the trailblazers of Retrieval-Augmented Generation (RAG), the foundational technology that links foundational models to timely and relevant data, Contextual AI is backed by some of the most innovative venture capitalists in the industry. We are not merely a part of the enterprise AI revolution; we are at its forefront. Join us in creating a future where AI transcends mere question answering to genuinely transform businesses. Job Overview The Data Platform team within Contextual AI is integral to powering product development, applied research, and managing data-heavy workloads for our customers. This is a unique opportunity to influence the technical vision of the data engineering team, contributing to groundbreaking projects within a greenfield environment. What You’ll Do: Design and develop scalable services, APIs, and databases to efficiently handle the daily processing and ingestion of petabytes of data. Enhance state-of-the-art multimodal LLMs to maximize document understanding capabilities. Create and implement thorough evaluation pipelines for end-to-end agentic RAG workflows. Architect and construct streaming infrastructure and data orchestration systems, including vector databases. Collaborate with machine learning researchers to interpret state-of-the-art requirements for RAG systems, translating them into actionable service specifications. Engage directly with product managers and application engineers to gather customer requirements for end-to-end RAG systems, and convert these into viable technical solutions. Ensure seamless integration with machine learning models and pipelines, facilitating effective model deployment and management. Provide mentorship and guidance to junior team members, fostering a culture of knowledge sharing and professional development. What We’re Seeking: Education: A Bachelor’s degree in Computer Science, Software Engineering, or a related field. Experience: Minimum of 2 years of relevant experience in data engineering or a related field. Strong understanding of scalable data architectures and design principles. Proficiency in modern programming languages and frameworks. Experience with machine learning principles and practices is a plus.

P-188 At Databricks, we are on a mission to fundamentally transform the data lifecycle, simplifying processes from data ingestion to ETL, Business Intelligence (BI), and extending to Machine Learning (ML) and Artificial Intelligence (AI) through a unified platform. We envision a future where traditional data warehouse architectures are replaced by innovative solutions like the Lakehouse architecture (CIDR 2021 paper), which integrate data warehousing and advanced analytics, effectively addressing critical challenges such as data staleness, reliability, cost of ownership, data lock-in, and limited use-case support. To turn this vision into reality, we are developing a next-generation decoupled query engine and structured storage system designed to surpass specialized data warehouses in relational query performance while maintaining the versatility of general-purpose systems like Apache Spark™. This system is intended to support a wide array of workloads, from ETL processes to data science applications. As a member of our team, you will engage in one or more of the following areas, contributing to the design and implementation of cutting-edge systems that redefine industry standards: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security measures Resource management strategies Transaction coordination processes Efficient storage structures (encodings, indexes) Automatic physical data optimization techniques

At Databricks, we strive to revolutionize the data lifecycle from ingestion to ETL, business intelligence (BI), and machine learning (ML) with our unified platform. We envision a future where the traditional data warehouse architecture is superseded by an innovative architectural model known as the Lakehouse (CIDR 2021 paper). This cutting-edge approach integrates data warehousing with advanced analytics, effectively addressing significant challenges such as data staleness, reliability, cost of ownership, data lock-in, and limited use-case support.A pivotal component of achieving this vision is the development of the next-gen (decoupled) query engine and structured storage system designed to surpass the performance of conventional data warehouses for relational queries while maintaining the flexibility of general-purpose systems like Apache Spark™. This will empower a wide range of workloads, from ETL processes to data science applications.As a member of our team, you will engage in one or more of the following areas to design and implement these advanced systems that set new benchmarks:Query compilation and optimizationDistributed query execution and schedulingVectorized execution engineData securityResource managementTransaction coordinationEfficient storage structures (encodings, indexes)Automatic physical data optimization

About the RoleMoveworks is seeking experienced Senior and Staff Engineers to enhance our Generative AI Search Platform. Join our dedicated team as we innovate on search-based question answering systems by integrating traditional machine learning methods with the latest advancements in generative AI technologies. Our goal is to construct conversational search systems that deliver immediate responses to enterprise user inquiries.As part of the Search Platform team, you will lead efforts to refine our search capabilities, collaborating closely with ranking, product, design, infrastructure, and data science teams. Together, we aim to elevate our agentic search products to new heights of performance and enterprise readiness.At Moveworks, we value a fast-paced, problem-solving culture that prioritizes providing exceptional value to our customers. Your role will involve working with diverse teams to identify, define, and implement elegant solutions that meet user needs.Design robust abstractions to empower ranking and product teams to effectively contribute to the codebase.Develop algorithmic frameworks for various conversational search applications, including multi-turn, multi-hop question answering systems.Lead the evolution of our search platform by integrating new LLM-enabled generative AI features, ensuring scalability, quality, security, and privacy.Create systematic evaluation metrics and methodologies for our search models, utilizing LLMs to solve unique enterprise challenges.As a technical leader, foster a high-performing, inclusive team environment while mentoring engineers at various levels.Contribute to our hiring processes and help grow our engineering team.