Backend Engineer at Otter | Mountain View, CA

About Us At Otter, we empower restaurateurs to thrive in the digital food delivery landscape. Our innovative platform is trusted by globally recognized brands like Chick-fil-A, Ben & Jerry’s, KFC, and Eataly. We are passionate about enhancing the dining experience and simplifying online ordering for restaurants of all sizes. Your Role As a Backend Engineer, you will play a pivotal role in designing, implementing, and optimizing our core systems that drive critical applications. Your responsibilities will adapt to your unique strengths and interests, allowing you to focus on: Infrastructure: Build and maintain secure, scalable, and high-performance systems to ensure operational excellence. Platform: Develop robust APIs and developer tools that enhance team efficiency and scalability. Product: Engineer backend services that support customer-facing applications for a seamless user experience. Key Responsibilities: Architect and implement scalable backend systems and APIs. Ensure high performance, reliability, and security of systems. Collaborate with product managers, designers, and fellow engineers to deliver comprehensive solutions. Engage in code reviews, testing, and documentation to uphold quality standards. Mentor junior engineers or take on leadership roles as per your expertise.

Join the AI Revolution at Creatify!At Creatify, we are pioneering the world’s first comprehensive AI advertising platform, automating every aspect of the video ad lifecycle—from creative scripting and avatar-driven production to testing, optimization, and seamless publishing across major platforms like Meta, TikTok, and YouTube.In only 18 months, we’ve achieved over $10 million in annual recurring revenue (ARR) and have empowered more than 1.5 million users across 10,000+ teams. Our innovative platform is trusted by leading brands including Alibaba, HubSpot, and Binance to create personalized, high-impact video advertisements in mere minutes.With $24 million raised from prominent Silicon Valley investors such as WndrCo and Kindred Ventures, we are on a rapid growth trajectory. For insights on our recent achievements, check out our features in Fast Company, TechCrunch, and Bloomberg TV.Based in Mountain View, we are a passionate team of AI researchers, engineers, and advertising experts. Join us as we transform the advertising landscape with AI technologies.

About Us At Otter, we are redefining the restaurant experience by integrating technology with culinary passion. As a leader in the digital restaurant space, we empower restaurateurs to thrive in online food delivery. Our innovative solutions are trusted by renowned names like Chick-fil-A, Ben & Jerry’s, KFC, and Eataly, helping them streamline operations, boost sales, and enhance customer satisfaction. Your Role Oversee the entire hardware lifecycle from conception to delivery across Otter’s diverse hardware portfolio, including POS systems, kiosks, kitchen displays, and lockers. Develop and maintain strategic vendor partnerships, shaping both short-term and long-term visions for hardware products. Ensure timely manufacturing and adherence to quality standards through comprehensive oversight of FATP processes and readiness protocols. Lead supply planning and optimization initiatives, conducting thorough analysis and facilitating alignment among stakeholders for all hardware products. Establish performance metrics and risk management systems that provide executive-level insights into supply chain efficiency and operational performance. Collaborate cross-functionally with Engineering, Product, Sales, Finance, Legal, Support, and Operations to translate business needs into actionable hardware plans and market readiness strategies. Act as the primary point of accountability for the hardware organization, ensuring efficient operations and scalability to support Otter’s growth ambitions.

The OpportunityJoin our innovative AI team at Otter.ai, driving the future of AI technology to enhance the value derived from meetings and conversations. As a Machine Learning Engineer, you will collaborate with seasoned scientists and engineers to develop and deploy machine learning systems that transform groundbreaking research into production-ready features for our summarization and conversational intelligence offerings.Your ImpactArchitect, build, and evolve large-scale SID / ASR / NLP / LLM systems that are central to our mission-critical product experiences, impacting millions of conversations.Lead the design and implementation of training, fine-tuning, post-training, and inference strategies for large language and speech models using PyTorch and/or JAX, balancing quality, latency, cost, and reliability.Design and improve model architectures, loss functions, decoding strategies, and training techniques for speech and language models, guided by both research and production constraints.Own end-to-end ML system lifecycles from research prototyping through to production deployment, monitoring, iteration, and long-term maintenance.Collaborate closely with product and infrastructure teams to convert cutting-edge research into scalable, production-grade systems that yield measurable user and business impacts.Drive system-level enhancements in model performance, robustness, observability, and operational excellence using real-world conversational data at scale.Establish technical direction and best practices for ML infrastructure, data pipelines, evaluation frameworks, and deployment workflows in a cloud environment.Tackle complex, ambiguous challenges in model behavior, data quality, scaling, and system interactions, often preemptively addressing issues before they impact users.Mentor and elevate fellow engineers, shaping team standards, reviewing designs, and fostering a culture of sound technical decision-making and execution.

About Us At Otter, we are revolutionizing the digital landscape for the food industry. As off-premise dining continues to surge, we equip restaurants with the essential tools to thrive amidst this complexity. Our mission is to help culinary operators simplify their processes, expand their reach, and provide memorable dining experiences for guests, no matter where they may be. Otter's platform serves food businesses of every scale, from beloved local eateries to expansive global chains. With our support, restaurants can concentrate on their passion: delivering delightful meals to their patrons. As they prosper, we are committed to making quality food more accessible, trustworthy, and affordable for all. Your Role As the Group Product Manager for our System of Record, you will spearhead the development of the definitive digital framework for the food industry. Your leadership will ensure the creation of the most comprehensive, precise, and timely source of information and workflows that empower restaurants and their partners. In this role, you will: Oversee and enhance the System of Record that governs vital restaurant entities such as Orders, Storefronts, and Menus. Develop platform features that facilitate smooth integrations with delivery platforms, POS systems, and various restaurant technology providers. Establish core data models, lifecycle processes, and business logic to guarantee accuracy, dependability, and uniformity within Otter’s ecosystem. Create developer-friendly tools – including APIs, SDKs, and integration monitoring – to ensure that both internal and external contributors can easily and securely build on the platform. Collaborate with engineering, design, operations, and go-to-market teams to deliver scalable and reliable solutions that meet the needs of both customer-facing products and internal workflows. Guide and mentor a team of Product Managers, setting clear objectives, fostering professional growth, and enhancing product excellence throughout the organization. Qualifications 8+ years of experience in product management, including a minimum of 3 years in a leadership role overseeing and developing Product Managers. A successful history of building and scaling platform or data products that demonstrate measurable reliability and significant business impact. A robust technical understanding of APIs, integrations, and data modeling; experience with data-intensive products or enterprise platforms is advantageous. A data-driven decision-maker with proficiency in SQL and analytical tools. Exceptional communication skills, able to clearly convey complex technical concepts to executives, engineers, and partners alike. Experience in restaurant technology and commerce is a plus.

About UsAt MAI (pronounced “my”), we are committed to revolutionizing advanced advertising technology. Our goal is to make state-of-the-art marketing tools, which were previously the domain of large corporations with extensive budgets, available to all businesses. Our innovative platform employs AI agents to streamline and enhance performance marketing, enabling small to medium-sized enterprises to grow their advertising budgets sustainably without the need for agencies or cumbersome manual campaign management.Founded by experienced professionals from leading ad platforms like Google and Instacart, we have successfully secured $25 million in Seed funding led by Kleiner Perkins to accelerate our growth trajectory. This funding will be directed towards expanding our product and engineering teams, fulfilling our vision of intelligent and autonomous marketing. Our AI agents have already demonstrated their effectiveness, assisting clients in achieving 40% more sales while managing millions in monthly Google Ads expenditures. The demand for our services is growing, as evidenced by our rapidly expanding client waitlist.Why Join Us NowAs pioneers in this new frontier of autonomous, intelligent agents, we are charting our own course, and we invite you to be a part of it.As a Machine Learning Engineer at MAI, you will not merely be writing code; you will be a key architect in creating the ecosystem where our AI agents thrive, learn, and perform. Your contributions will significantly impact our entire technology stack—from the foundational data platforms that supply our agents to the core frameworks that enable intelligent reasoning, to the scalable systems that deliver their insights to our clients. This role presents an exceptional opportunity to develop a truly AI-driven product from the ground up and tackle challenges at the forefront of the industry.You will be part of a small, agile team of fewer than ten engineers, allowing you to make a substantial impact and influence the future direction of our company. We are in the early stages of establishing three core teams:Product Engineering & InfrastructureAI Platform & FoundationAgent Application & QualityYou will have the unique opportunity to develop your skills as these teams grow, leveraging your expertise while also embracing new challenges and learning from your peers to become a more well-rounded engineer.

About CreatifyCreatify is revolutionizing digital advertising by developing the world's first comprehensive AI-driven advertising platform. Our innovative technology automates the entire lifecycle of video ads, from scripting and avatar generation to rigorous testing, optimization, and seamless publishing across platforms like Meta, TikTok, YouTube, and more.In just 18 months, we've achieved over $10 million in Annual Recurring Revenue (ARR) and are proud to serve more than 1.5 million users from over 10,000 teams. Prestigious brands such as Alibaba, HubSpot, Binance, NewsBreak, and Zumper trust Creatify for creating personalized, high-performing video ads in just minutes.With $24 million raised from prominent Silicon Valley investors including WndrCo, Kindred Ventures, and Comcast Ventures, we are positioned for rapid growth. Explore our recent features in Fast Company, TechCrunch, Bloomberg TV, and our recognition as one of IVP Enterprise AI 55 in 2024.Join our passionate team of AI researchers, engineers, and advertising experts in Mountain View, and help us reshape the future of advertising through AI.

About EarnInEarnIn is a trailblazer in the earned wage access space, dedicated to empowering individuals with financial flexibility tailored for those living paycheck to paycheck. Our community members can access their earnings in real time, enabling them to spend, save, and enhance their financial well-being without burdensome fees, interest rates, or credit checks.With a robust leadership team and esteemed funding partners such as A16Z, Matrix Partners, DST, and Ribbit Capital, we are positioned for rapid growth and are eager to attract top-notch talent to shape our future.Position SummaryAt EarnIn, machine learning (ML) is pivotal to our growth strategy. We harness advanced ML models to inform business decisions and enhance customer experiences. Your role will involve developing and implementing cutting-edge ML systems that leverage our data capabilities. You'll be tasked with thorough formulations, rigorous experimentation, and transforming ML models into efficient production-ready code, while also focusing on robustness monitoring and system logging/alarming.We are inviting enthusiastic students and recent graduates with a solid foundation in machine learning, deep learning, language models, generative AI, programming, and data analysis to join our 12-week Machine Learning Internship Program. You will engage in real-world projects, collaborate with industry experts, gain invaluable insights into the fintech sector, and contribute to meaningful business and social outcomes. This position requires hybrid work from our Mountain View office, with 2 days per week on-site. Compensation for this internship is set at $40 per hour, with a commitment of 40 hours per week for the duration of the program.What You'll DoTrain and optimize large-scale Foundation Models for diverse fintech applications.Work with extensive datasets, encompassing both structured and unstructured data.Contribute to enhancements of our existing ML systems through model, data, or experimental upgrades.Acquire hands-on experience with a variety of technologies, including PyTorch, AWS, Kafka, Databricks, and more.

Join Coupang as a Senior Staff Machine Learning Engineer in our AI Foundations team, where you will be at the forefront of developing innovative machine learning solutions that enhance customer experiences. This role involves designing, implementing, and optimizing algorithms and models that drive intelligent decision-making and automation within our platforms.

Role Overview Otter.ai is looking for a Frontend Engineer to join the team in Mountain View, CA. This role focuses on building and improving user interfaces for Otter.ai’s transcription services. What You Will Do Design and implement intuitive, accessible web interfaces Work closely with teams across engineering, product, and design to deliver features Help shape the user experience for a product used to improve communication Location This position is based in Mountain View, CA.

Who We Are At Otter, we are passionate about transforming the restaurant industry through innovative technology. As a leader in online food delivery solutions, we empower restaurateurs to thrive in a digital landscape. Our commitment to enhancing the dining experience has earned the trust of thousands of restaurants globally, including renowned brands like Chick-fil-A, Ben & Jerry’s, and Eataly. Join us in our mission to simplify and streamline delivery operations for restaurants, ensuring they can focus on what they do best—creating unforgettable dining experiences. What You’ll Do As a pivotal member of our team, you will work on our Menu Platform, which serves as the backbone of menu management across various delivery channels and point-of-sale systems. Your contributions will directly impact the efficiency and effectiveness of operations for over 150,000 restaurants worldwide. Develop data-driven features that enhance dynamic menu operations. Engage in planning and strategy for internal tools and platforms. Design, implement, and rigorously test backend services using agile methodologies. Collaborate closely with cross-functional teams including engineering, product management, and customer support. Ensure high-quality code through meticulous writing, debugging, and maintenance across multiple projects. Architect scalable systems capable of handling large, distributed workloads. Enhance platform reliability, performance, and overall developer experience. Drive innovation and continuously explore new technologies.

Staff Full Stack Engineer - Integrations Platform Location: Mountain View, CA About Us At CloudKitchens and Otter, we are redefining the culinary landscape by creating the ultimate "Operating System" for the food industry. Our Integrations Platform Team plays a crucial role in uniting restaurants with the diverse array of delivery apps (such as UberEats and DoorDash) and Point of Sale systems (like Toast and Square). We recognize that a robust backend is ineffective if it isn’t user-friendly. Therefore, we are seeking a talented Staff Full Stack Engineer to lead the Merchant Onboarding & Connection Experience. In this role, you will develop intuitive interfaces and orchestration layers that empower non-technical restaurant owners to securely connect, configure, and monitor their essential business tools independently. Your Role You will serve as a vital link between our intricate backend synchronization engines and our customer base. Your task will be to design a "Self-Serve" architecture that streamlines the integration of third-party services. Design the Connection Wizard: Create and implement comprehensive full-stack workflows that assist merchants in navigating complex authentication processes (OAuth2, API Keys, Credential Vaults) across numerous platforms. Develop Connection Health Observability: Construct user-centric dashboards that make the invisible visible. You will build real-time interfaces that elucidate why a menu synchronization failed or whether their POS is operational, translating complex backend error logs into easily understandable status indicators. Simplify Configuration Management: Develop dynamic, data-driven interfaces that automatically cater to the specific configuration needs of each new integration partner, eliminating the necessity for frontend code modifications for every vendor. Lead the Self-Serve Initiative: Transition the company from a manual, support-ticket-driven onboarding process to a fully automated, product-led experience. Technical Challenges You Will Overcome Resumable Workflow State: Menu publishing on a delivery platform is not a straightforward process; it requires validating numerous items, uploading images, and obtaining partner acknowledgment. You will need to architect a user interface that allows users to initiate a significant update, encounter a validation error, close their browser, and later return to rectify that specific error and resume the process.

About NewsBreakFounded in 2015, NewsBreak is a pioneering Content Intelligence platform that is redefining the content economy. With a vibrant community of over 40 million monthly active users, our flagship platform offers deeply personalized local news and information, driven by cutting-edge AI technologies, sophisticated recommendation systems, and innovative adtech solutions.Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we take pride in being Great Place to Work® certified. Our dynamic team of technologists, product innovators, and business leaders is dedicated to tackling significant challenges at scale.Having reached unicorn status in 2021, we are steadfast in our commitment to maintaining a high-growth trajectory through the right talent to help us realize our mission: building the infrastructure layer for content intelligence.If you’re motivated to think big, innovate rapidly, and make a meaningful impact, we’d love to connect with you! For more information, visit www.newsbreak.com/aboutAbout the RoleWe are on the lookout for a Staff Machine Learning Engineer to spearhead technical leadership for our recommendation systems and AI initiatives.In this pivotal position, you will set the technical direction for large-scale personalization systems, lead intricate projects across various teams, and champion the integration of AI / LLM technologies in our product capabilities and engineering workflows.This opportunity is perfect for engineers who relish system-level thinking, enjoy mentoring others, and excel at transforming complex, ambiguous challenges into scalable solutions.What You’ll Work OnTechnical Leadership & ArchitectureLead the design of next-generation recommendation system architectures at scale.Drive best practices for model lifecycle management, experimentation, and system reliability.Collaborate with product, infrastructure, and data teams to ensure alignment of technical strategy with business objectives.Advanced Recommendation & AI SystemsOversee complex initiatives encompassing retrieval, ranking, re-ranking, and multi-objective optimization.

About Us At Otter, we are revolutionizing the digital infrastructure that enhances the way food is served. In a rapidly changing market where off-premise dining is on the rise, we empower restaurants to simplify complexities, expand their businesses, and provide exceptional experiences to all guests, regardless of location. Our platform supports food businesses of varying scales, from local favorites to expansive regional and global chains. With Otter, restaurants can concentrate on their core passion: delivering outstanding cuisine to their patrons. As they prosper, we are committed to making quality food more accessible, dependable, and affordable for everyone. Your Role As the Product Manager for the Product Platform, you will take ownership of the essential components and services that underpin Otter’s operating system—the foundation that all product teams build upon. Your responsibilities will include: Strategizing the roadmap for user identity and access management, enhancing authentication, roles and permissions, SSO, and enterprise-level security. Expanding customer communication channels across SMS, email, and notifications, ensuring reliability, redundancy, and actionable analytics for both diner-facing and operator-facing processes. Leading enhancements to Otter’s platform experience, including navigation, shared UI components, shell performance, and API reliability. Developing and refining internal support tools, including agent workflows, AI-driven support, customer satisfaction feedback collection, and logging. Collaborating with engineering, design, and security teams to deliver efficient, reliable, and reusable platform services that accelerate the development efforts of all Otter’s product teams. Qualifications A minimum of 5 years of product management experience or its equivalent. Demonstrated success in delivering and scaling platform or shared services that cater to multiple products and teams. Strong technical proficiency in APIs, authentication/SSO, permissions, and distributed systems; capable of engaging deeply with engineering teams. Data-driven decision maker with expertise in SQL and analytics tools. Exceptional written and verbal communication skills; adept at presenting technical concepts to executive and cross-functional audiences. Why Join Us? Thriving Market: Focus on a $80 billion industry projected to exceed $500 billion by 2030 in the US. Transformative Impact: Play a vital role in reshaping the operations of restaurants in both online and offline sectors.

Join Our Team as an AI Research Engineer!At Creatify, we are at the forefront of revolutionizing the advertising landscape through cutting-edge AI technology. Our innovative platform serves as the world's first end-to-end AI advertising agent, automating every stage of the video ad lifecycle—from crafting scripts and generating engaging avatar-led videos to optimizing and publishing across major platforms like Meta, TikTok, and YouTube.In just a year and a half, we have achieved remarkable growth, surpassing $10 million in ARR and supporting over 1.5 million users across more than 10,000 teams. Esteemed brands such as Alibaba, HubSpot, Binance, NewsBreak, and Zumper trust Creatify for delivering personalized and high-performing video advertisements in record time.With $24 million in funding from prominent Silicon Valley investors, including WndrCo, Kindred Ventures, and Comcast Ventures, we are excited to continue our journey of innovation and excellence in the advertising sector. Our work has garnered attention from leading media outlets like Fast Company, TechCrunch, and Bloomberg TV.We are based in Mountain View, California, and our team consists of dedicated AI researchers, engineers, and advertising experts. We invite you to be part of this transformative journey in the advertising industry through AI.

About UsAt MAI, pronounced “my,” we are dedicated to revolutionizing advanced advertising technology. Our mission is to make cutting-edge marketing tools, once reserved for large corporations, accessible to businesses of all sizes. Through our innovative platform leveraging AI agents, we automate and enhance performance marketing, enabling small and mid-sized businesses to profitably scale their ad spend without relying on agencies or spending countless hours on manual campaign management.Founded by seasoned professionals from Google and Instacart, we have successfully secured $25 million in Seed funding led by Kleiner Perkins to accelerate our growth. This investment will help us expand our product and engineering teams to realize our vision of intelligent, autonomous marketing. Our AI agents have already demonstrated their effectiveness, assisting clients in achieving 40% more sales and managing millions in monthly Google Ads expenditures. We are experiencing a rapidly growing client waitlist.Why Join Us Now?As we venture into the uncharted territory of building infrastructure for autonomous, intelligent agents, you will not merely be writing code; you will be the architect of the environment where our AI agents thrive. You will have a significant impact across our entire stack—from the foundational data platforms that support our agents to the core frameworks that empower them to reason, and the scalable systems that deliver their intelligence to our customers. This is a unique opportunity to create a truly AI-native product and tackle challenges at the forefront of the industry.You will be a vital member of a small, focused team of fewer than ten engineers, with the opportunity to shape the future of our organization. We are in the early stages of forming three core teams:Product Engineering & InfrastructureAI Platform & FoundationAgent Application & QualityThis role offers you the chance to grow your skills as these teams develop, encouraging you to leverage your specializations while exploring new projects and learning from your peers.

Aeva, Inc. is seeking a Machine Learning Engineer with a focus on Perception to join the team in Mountain View, CA. This role centers on developing algorithms that help autonomous systems interpret and respond to their environment. The work draws on both machine learning and computer vision to improve how autonomous vehicles perceive the world around them. Key responsibilities Design and build perception algorithms for autonomous platforms Use machine learning and computer vision on real-world datasets Support progress in autonomous vehicle technology through technical contributions Work closely with engineers and researchers to expand product capabilities Location This position is based in Mountain View, CA.

DataVisor stands at the forefront of AI-driven fraud and risk management solutions, providing unparalleled detection capabilities within the industry. Our innovative SaaS platform allows for seamless integration and enhancement of diverse data sources, enabling organizations to respond to rapidly changing fraud and money laundering scenarios in real-time. With our proprietary unsupervised machine learning technology, robust device intelligence, and a powerful decision engine, we ensure substantial performance improvements from day one. Our platform is designed to accommodate a variety of applications across multiple business units, significantly reducing the total cost of ownership when compared to traditional point solutions. Recognized as a leader in our field, DataVisor is trusted by numerous Fortune 500 companies globally.Our acclaimed software platform is driven by a team of top-tier professionals specializing in big data, machine learning, security, and scalable infrastructure. We foster a culture of openness, positivity, collaboration, and results-oriented work. Join us in transforming the future of fraud detection!Position Overview:As part of our platform engineering team, you will contribute to the development of a next-generation machine learning platform, integrating our unique unsupervised machine learning (UML) techniques with supervised machine learning (SML) algorithms. Your role will involve enhancing our core detection algorithms and automating the comprehensive training process.With the rise of sophisticated fraud attacks, real-time detection is more crucial than ever. The platform team is tasked with constructing the architecture that supports real-time UML capabilities. We are seeking inventive and enthusiastic engineers to aid in the expansion of our novel streaming and database systems, which are essential for our detection functionalities.Join us in pushing the limits of what is achievable in fraud detection and large-scale data processing, and help us introduce innovative solutions to this critical domain.

Waymo is an innovative leader in autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has made significant strides in developing the Waymo Driver—The World’s Most Experienced Driver™—aiming to enhance mobility access while preventing countless traffic-related fatalities. With over ten million rider-only trips and extensive autonomous driving experience across more than 100 million miles on public roads, Waymo continues to redefine transportation solutions in over 15 U.S. states.The Machine Learning Operations (ML Ops) team, a vital part of the Waymo ML Platform, is responsible for creating tools and infrastructure that facilitate the ML flywheel at Waymo. This team focuses on developing automation and orchestration solutions that streamline complex ML workflows and collaborates closely with the modeling team to enhance developer efficiency.We are seeking a skilled software engineer to join our team, responsible for building and maintaining critical data and ML pipelines that drive ML development at Waymo.In this hybrid role, you will report to a Technical Lead Manager, Staff Software Engineer.

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.