AI Engineer Specializing in Agent Systems and LLMs

At GenBio AI, we are pioneering the development of multiscale foundation models aimed at decoding and simulating human biology. Our vision is to empower scientists to tackle some of humanity's most significant challenges in drug discovery, healthcare, and fundamental research through our innovative AIDO (AI-Driven Digital Organism) framework, which facilitat…

Senior AI Engineer – LLM and Retrieval-Augmented Generation Bright.AI is a rapidly growing Physical AI enterprise that is revolutionizing the way organizations engage with the physical environment through advanced intelligent automation. Our AI platform analyzes visual, spatial, and temporal data from countless real-world events captured via edge devices, mobile sensors, and cloud infrastructures to facilitate intelligent decision-making on a large scale. We are seeking a Senior AI Engineer specializing in LLM and RAG to spearhead the development of Retrieval-Augmented Generation (RAG) systems. These systems utilize large language models (LLMs) combined with real-time knowledge sources to create next-generation intelligent assistants that aid technicians and operators in diagnosing and resolving intricate issues in industrial contexts. Your role will place you at the intersection of Natural Language Processing (NLP), foundational models, and real-time information systems, designing intelligent tools that convert manuals, technician notes, and sensor data into actionable conversational guidance for real-world applications.

At Ricursive Intelligence, we are pioneering advancements in artificial intelligence by creating self-improving systems with a focus on innovative chip design. Our mission is to revolutionize chip development, effectively bridging the gap between AI and the hardware that supports it, thereby accelerating the journey towards artificial superintelligence.We are seeking exceptional engineers who are passionate about tackling a wide range of challenges in scaling, low-level optimization, and the fundamental infrastructure necessary for large language model training and inference.

About UsHippocratic AI is at the forefront of generative AI in healthcare, possessing the only system capable of conducting safe, autonomous clinical conversations with patients. Our proprietary LLMs, part of the Polaris constellation, boast an impressive accuracy rate exceeding 99.9%.Why Join Our TeamBe a part of a healthcare revolution with AI centered on safety. We are developing the first healthcare-exclusive, safety-driven LLM — a groundbreaking platform aimed at significantly improving patient outcomes globally. This is an opportunity to shape a new category in healthcare technology.Collaborate with pioneers in the field. Co-founded by CEO Munjal Shah and a talented group of physicians, hospital leaders, AI experts, and researchers from prestigious institutions such as El Camino Health, Johns Hopkins, and Stanford, among others.Supported by top-tier investors in healthcare and AI. We have successfully raised $126M in Series C funding, achieving a valuation of $3.5B, with total funding reaching $404M from notable participants including Avenir Growth, CapitalG, and a16z.Work alongside industry leaders. Join a team of experts dedicated to enhancing care, advancing scientific knowledge, and developing transformative technologies that ensure our platform remains powerful and reliable.Location RequirementThis role requires in-office presence at our Palo Alto facility five days a week to foster collaboration and a strong team culture.

Join the innovative team at OPPO US Research Center as a full-time AI/LLM Test Engineer. In this pivotal role, you'll assess the performance, reliability, and safety of Large Language Models (LLMs) within real-world applications while testing comprehensive generative AI solutions. Your efforts will directly enhance user experiences with AI-driven features by ensuring their robustness, accuracy, and alignment with product goals. This is a unique chance to lead the development of testing methodologies for groundbreaking AI technologies.Additionally, we are looking for a Contractor LLM Evaluation & QA Engineer to assist in the evaluation and validation of LLM-powered applications. You will play a key role in implementing testing strategies, executing evaluation workflows, and validating model performance across various generative AI scenarios.This contract position is perfect for individuals with hands-on experience in AI/ML evaluation, QA engineering, or data analysis who are eager to expand their knowledge of generative AI systems.

About NubankNubank is a leading digital financial platform, serving over 127 million customers across Brazil, Mexico, and Colombia. Our mission is to simplify financial services and empower individuals, heralding a transformative purple future in Latin America.As a publicly traded company on the New York Stock Exchange (NYSE: NU), we leverage proprietary technology and data intelligence to deliver financial products that are accessible and user-friendly.Our innovation has been recognized globally, featuring in esteemed rankings like Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Explore more about joining our team on our Careers page!About the RoleAt Nubank, AI is central to our strategy for growth and innovation. We are evolving into an AI-native company where intelligent systems not only enhance our products but fundamentally shape them. As the Lead Software Engineer for AI Agents & Orchestration, you will play a pivotal role in this transition.Your responsibilities will include steering the technical strategy for the integration of Generative AI and Large Language Models (LLMs), impacting the experience of over 130 million customers. This position emphasizes building production-grade workflows and RAG pipelines that operate efficiently across various markets. You will utilize our specialized GenAI Platform, which encompasses inference services, evaluation frameworks, and orchestration layers, to transition from experimental phases to substantial global impact at 'Nu-speed'.Why This Role Stands OutAgency & Transformation: You are not just another team member; you are a key architect of the AI Native Bank.Impact at Scale: Your contributions will empower a diverse population exceeding that of many countries.The AI Multiplier: You will engage in a structured framework that acknowledges and rewards the innovative advancements you drive through AI.ResponsibilitiesLead AI Architecture: Define the technical vision for AI-native applications, ensuring that our LLM integrations are scalable, cost-effective, and dependable.Develop Agentic Workflows: Create and implement sophisticated agentic systems and RAG patterns that offer hyper-personalized financial experiences.Pursue Engineering Excellence: Establish the standard for AI development at Nubank, promoting reusable components.Collaborate Across Teams: Work alongside Product, Design, and other departments to ensure seamless integration of AI technologies.

About Glean:Founded in 2019, Glean is a pioneering AI-driven knowledge management platform that empowers organizations to efficiently discover, organize, and share vital information across their teams. By seamlessly integrating with tools such as Google Drive, Slack, and Microsoft Teams, Glean enables employees to access critical knowledge precisely when they need it, enhancing productivity and collaboration. Our state-of-the-art AI technology streamlines knowledge discovery, allowing teams to harness their collective intelligence more effectively.Glean was conceived by Founder & CEO Arvind Jain, who recognized the challenges employees face in navigating fragmented knowledge and an overwhelming array of SaaS tools. This insight drove him to create a superior solution—an AI-powered enterprise search platform designed for intuitive and rapid access to information. Since its inception, Glean has evolved into a premier Work AI platform, merging enterprise-grade search, an AI assistant, and robust application and agent-building capabilities to fundamentally transform the way employees engage with their work.About the Role:We are seeking experienced engineers to contribute their expertise and vision in the development of next-generation intelligent enterprise AI assistants and autonomous AI agents. Our mission involves reimagining how LLMs (Large Language Models) and agents can reason, plan, and execute complex, multi-step enterprise workflows. You will operate at the intersection of applied research and production engineering, focusing on areas such as agentic frameworks, LLM orchestration, low-latency LLM inference and optimization, domain-adapted and memory-augmented LLMs, reinforcement learning, and creating evaluation frameworks for intricate enterprise tasks. Our approach emphasizes collaboration with customers to deeply understand their challenges and apply the ideal blend of research-driven and practical engineering solutions to address them.

Ricursive Intelligence is at the forefront of AI innovation, dedicated to developing self-enhancing systems with a strong emphasis on chip design. Our mission is to transform chip development and create a seamless connection between artificial intelligence and the hardware that powers it, thereby accelerating the journey towards artificial superintelligence.We are on the lookout for top-tier researchers to engage in groundbreaking AI research, tackling a diverse array of challenges associated with LLM modeling, training, data management, evaluation, and beyond. As a dynamic startup, our team is highly collaborative and hands-on; researchers are empowered to design and execute large-scale experiments and to build and deploy models in a production environment.

At Rhoda AI, we are pioneering the future of humanoid robotics by constructing a robust full-stack foundation that integrates high-performance software-defined hardware with advanced foundational models and video world models. Our innovative robots are engineered to excel as versatile generalists, capable of navigating intricate real-world environments and addressing scenarios not encountered during training. Collaborating at the intersection of large-scale learning, robotics, and systems, our elite research team comprises talented individuals from prestigious institutions such as Stanford, Berkeley, and Harvard. With over $400M in funding, we are committed to an aggressive investment in R&D, hardware development, and scaling up manufacturing to realize our vision.Key ResponsibilitiesConduct thorough Hazard Analysis and Risk Assessments for humanoid robots across various customer applications.Formulate Functional Safety Concepts, Requirements, and Technical Safety Specifications.Execute system-level analyses to establish requirements concerning stopping distances, perception, and timing/spatial/force constraints.Develop requirements for fail-safe and fail-operational behaviors, degraded states, and human-robot interactions.Create test cases for verification and validation purposes.Design, engineer, deploy, and utilize system safety validation equipment at HIL, SIL, and system levels.Desired QualificationsBachelor's degree in Electrical Engineering or related field.Certification as a Functional Safety Engineer in IEC 61508 or ISO 26262.Proven experience in designing safety systems for complex electromechanical products with critical safety components.Familiarity with optics, machine vision, and computer vision technologies.Demonstrated history of hands-on engineering work, including test benches, measurement, and root-cause analysis beyond mere documentation.Practical experience in the verification and validation of safety requirements utilizing HIL and SIL methodologies.

Join our innovative team as a Full Stack Engineer, specializing in AI systems. You will be responsible for developing and maintaining robust front-end and back-end solutions that enhance our AI capabilities. This role offers the unique opportunity to work on cutting-edge technology that impacts the future of AI.

At Rhoda AI, we are pioneering the development of a comprehensive foundation for the next generation of humanoid robots. Our focus spans high-performance, software-defined hardware to advanced foundational models and video world models that govern robot functionality. Our robots are engineered to be versatile, capable of navigating intricate, real-world environments and tackling scenarios not previously encountered in training. We stand at the crossroads of large-scale learning, robotics, and systems, bolstered by a research team comprising experts from prestigious institutions such as Stanford, Berkeley, and Harvard. Our ambition is not merely to add features; we are crafting a revolutionary computing platform for physical tasks, underpinned by over $400 million in funding, driving aggressive investments in research & development, hardware innovation, and scaling up manufacturing to bring our vision to fruition.Role OverviewWe are in search of a Principal Machine Learning Systems Engineer to take charge of our training systems' performance from start to finish. You will be instrumental in defining the scaling of our model training, enhancing efficiency, scalability, and accuracy across extensive multimodal training environments. This is a pivotal systems role, not merely focused on infrastructure support. Your contributions will significantly influence our compute utilization efficiency, scalability of models across thousands of GPUs, and the speed of research iterations.Your ResponsibilitiesOversee training performance from start to finishAnalyze and enhance the performance of large-scale multimodal training encompassing vision, video, proprioception, actions, and language.Create systematic performance attributions by breaking down step-time into compute, communication, and input pipeline, along with scaling curves for various cluster sizes and identifying key bottlenecks.Drive quantifiable improvements across:Distributed efficiency (e.g., communication and compute overlap, bucketization, topology-aware mapping, and parallelism strategies).Compute efficiency (e.g., identifying kernel hotspots, operator fusion, attention optimization, and minimizing framework/runtime overhead).Memory efficiency (e.g., activation checkpointing, sequence packing, and reducing fragmentation).Design training systems rather than just tuning themDefine and refine parallelism strategies including data, tensor, pipeline, sharding, and hybrid approaches.Enhance execution efficiency through communication scheduling, graph capture, execution optimization, and runtime enhancements.Contribute to the overall system architecture with innovative solutions.

Join xAI as a Senior IT Systems Engineer and play a crucial role in developing and maintaining our advanced infrastructure. You will be part of a dynamic IT Systems Team that manages a secure and high-performance virtual environment, ensuring our corporate resources are reliable and efficient. Your expertise in both Windows and Linux platforms will be essential as you build, optimize, and troubleshoot complex application stacks. Collaborating with cross-functional teams, you will implement best practices that enhance system efficiency while supporting various VMware technologies and automating processes using Puppet Enterprise.

Join Us in Shaping Trust in the Age of AIAt Oscilar, we are at the forefront of developing the most sophisticated AI Risk Decisioning™ Platform. Our innovative solutions empower banks, fintechs, and digital enterprises to effectively manage fraud, credit, and compliance risks through advanced AI technology. If you are enthusiastic about tackling intricate challenges and enhancing online safety for all, this is your opportunity.Why Choose Oscilar?Mission-Driven Teams: Collaborate with experienced professionals from Meta, Uber, Citi, and Confluent, all working together to create a safer digital landscape.Ownership and Impact: Embrace a culture of extreme ownership where you can take initiative, act swiftly, and make impactful decisions aligned with our mission.Innovate at the Cutting Edge: Your contributions will revolutionize how modern finance detects fraud and mitigates risks.Job OverviewWe are in the process of developing a groundbreaking AI Agent Platform designed to enhance our mission — creating intelligent, autonomous systems that proactively identify insights, respond to risk events, and learn continuously from vast amounts of data.We seek engineers who are quick thinkers, proficient prototypes, and passionate about solving complex problems at the intersection of AI, full-stack development, and risk intelligence.Key ResponsibilitiesDesign and construct full-stack systems that power Oscilar’s next-generation AI agents, encompassing backend APIs, data pipelines, and interactive frontends.Utilize AWS Lambda and Python to implement serverless architectures for high-volume, event-driven processing of risk signals and fraud patterns.Explore agentic frameworks, LLM-driven automation, and reasoning systems to tackle challenges in fraud detection, risk scoring, and Anti-Money Laundering (AML).Work closely with founders and product leaders to define the architecture and roadmap for our agentic platform.Act swiftly to ship Minimum Viable Products (MVPs), validate hypotheses using real-time data, and iterate on a weekly basis.Leverage practical AI techniques, including GenAI, embeddings, and retrieval pipelines for data storytelling, graph reasoning, and case automation.QualificationsA minimum of 4 years of experience in full-stack engineering or related fields.Proficiency in backend technologies, database management, and frontend frameworks.Experience with cloud services, particularly AWS, and serverless architecture.Strong problem-solving skills and the ability to thrive in a fast-paced environment.

AI Research Engineer specializing in Reinforcement Learning | AI & RoboticsLocation: Palo Alto, CA (on-site)About 1XAt 1X, we are pioneering the development of humanoid robots that collaborate with humans to address labor shortages and foster abundance in various industries.The RoleAs an AI Research Engineer with a focus on Reinforcement Learning, you will play a vital role in enhancing NEO's capabilities through advanced RL algorithms. This position involves working in both simulated and real-world environments to create robust behaviors and implement them within home settings. Your contributions will be crucial in increasing the safety, efficiency, and versatility of our robotic systems.

Role overview Jerry.ai is hiring a Senior Product Manager to lead Agentic AI solutions in Palo Alto, California. This position shapes the direction and execution of AI-powered products, balancing advanced technology with a strong focus on user experience. What you will do Set the vision, strategy, and roadmap for Agentic AI initiatives Collaborate with engineering, design, and cross-functional partners to deliver features that address real customer needs Use data analysis to spot areas for product improvement Align product plans with current market trends and user feedback About Jerry.ai Jerry.ai creates intelligent automation tools designed to simplify daily routines. The team emphasizes collaboration and is committed to delivering meaningful value for users.

Join xAI as the Director of Go-To-Market Systems & Automation, where you will architect and optimize the technological framework that drives our global GTM operations. This hands-on role requires a builder mindset, focusing on automating processes and deploying AI-driven agents that directly contribute to revenue generation. Collaborate closely with leadership across GTM, Product, and Engineering to streamline forecasting, enhance CRM capabilities, and capture long-tail revenue efficiently. Your expertise will help us scale and innovate, making a significant impact on our mission to revolutionize AI systems.

Are you ready to shape the future of healthcare technology? Hippocratic AI is seeking a motivated Agent Deployment Engineer to join our innovative Residency Program. In this role, you will play a vital part in deploying cutting-edge AI solutions that enhance patient care and streamline operations.

Join Our Innovative Team at VoltaiAt Voltai, we are pioneering advancements in artificial intelligence and hardware integration. Our mission is to develop sophisticated world models and intelligent agents capable of learning, evaluating, planning, experimenting, and engaging with the physical universe. Our primary focus lies in creating advanced hardware, electronic systems, and semiconductors that leverage AI to exceed human cognitive capabilities.Our Exceptional TeamSupported by leading Silicon Valley investors, Stanford University, and prominent industry leaders, our team comprises former Stanford professors, SAIL researchers, Olympiad medalists, and seasoned executives from renowned companies like Google, AMD, Broadcom, and Cadence, along with experts in national security and foreign policy.Your Role as a System EngineerAs a System Engineer at Voltai, you will play a crucial role in defining, modeling, and integrating complex electromechanical and computational systems. Your responsibilities will include developing system requirements, interface definitions, and validation plans to ensure seamless integration between hardware, firmware, and AI-driven design pipelines. You will take ownership of the system-level architecture that bridges the gap between concept and production.

The banking landscape is evolving, and customers anticipate that every interaction is seamless, personalized, and instantaneous.We are developing a universal banking assistant that enables millions of U.S. consumers to effortlessly transact across various financial institutions, and in the long run, automatically achieve their financial aspirations. Leveraging our proprietary BankGPT platform, this assistant is set to transform outdated legacy systems within financial institutions and dominate the complete customer experience stack, unlocking a $200 billion opportunity and potentially superseding multiple publicly traded companies.Our ultimate goal is to enhance financial well-being for millions of consumers.With over two-thirds of Americans living paycheck to paycheck, half having less than $500 in savings, and only 17% being financially literate, we are committed to putting financial well-being on autopilot to tackle this issue.Position OverviewWe are creating AI-driven, agentic products that revolutionize customer interactions with financial institutions across voice, chat, and digital platforms. We seek a Hands-On Engineering Manager – Agentic AI Products who embodies an AI-first perspective, possesses extensive backend systems experience, and is adept at orchestrating multiple AI agents to deliver production-quality systems.This role demands a candidate who:Has experience building complex distributed backend systemsIs knowledgeable in low-latency architectures (voice, telephony, streaming, chat)Is well-versed in modern agentic AI engineering techniquesPossesses a founder's mindsetLeads by example and by buildingRaises the engineering standards within the teamYou will be responsible for architecting, reviewing, coding, debugging, and shipping, while also nurturing your high-performance engineering team.

About VoltaiVoltai is at the forefront of developing innovative world models and intelligent agents designed to learn, assess, plan, experiment, and interact seamlessly with the physical environment. Our journey begins with the exploration and advancement of hardware, including electronic systems and semiconductors, where artificial intelligence can devise and create solutions that transcend human cognitive capabilities.About Our TeamOur team is supported by leading Silicon Valley investors and prestigious institutions such as Stanford University. We comprise former Stanford professors, SAIL researchers, Olympiad medalists, and executives from industry giants like Google, AMD, Broadcom, and more. Our collective experience includes roles such as CTOs of Synopsys & GlobalFoundries and former US government officials, bringing a wealth of knowledge and expertise.Your ProfileYou are a proactive executor who thrives on delivering results. Ownership of projects is your hallmark, whether you originated the concept, received it from leadership, or inherited it mid-way. You ensure every detail is executed to perfection.Your RoleIn this role, you will collaborate closely with leadership, navigating challenges with minimal overhead. You will take on high-impact projects and drive them from inception to completion. Identifying and mastering the right tools swiftly will be key to your success. You are resourceful, quick, and energized by the dynamic atmosphere of a fast-paced startup.This position is for those seeking substantial ownership and direct engagement with leadership, with the opportunity to contribute significantly to impactful projects.QualificationsA few years of experience in roles demanding high levels of ownership, such as finance, sales operations, consulting, or similar environments.Proven track record of independently managing complex, multi-threaded projects from start to finish.Hands-on experience with outreach tools (e.g., Lemlist, Hunter, Clay, Apollo, LinkedIn Sales Navigator) or a strong ability to learn new tools quickly.Strong design and presentation skills, capable of producing engaging materials efficiently.Exceptional written communication skills, particularly in crafting executive-level communications.Ability to thrive in fast-paced environments.