Staff Software Engineer - Data & AI

About GranicaGranica is a pioneering AI research and infrastructure company dedicated to creating reliable and steerable representations of enterprise data.We build trust through Crunch, a policy-driven health layer designed to keep extensive tabular datasets efficient, reliable, and reversible. From this foundation, we are developing Large Tabular Models—systems that learn cross-column and relational structures to provide trustworthy answers and automation, complete with built-in provenance and governance.Our MissionThe current limitations of AI are not solely due to model design but also to the inefficiencies of the data that supports it. At scale, every redundant byte, poorly organized dataset, and inefficient data path contributes to significant costs, latency, and energy waste.Granica’s mission is to eliminate these inefficiencies. We leverage cutting-edge research in information theory, probabilistic modeling, and distributed systems to create self-optimizing data infrastructures that continuously enhance how information is represented and utilized by AI.Our engineering team collaborates closely with the Granica Research group led by Prof. Andrea Montanari from Stanford University, merging advancements in information theory and learning efficiency with large-scale distributed systems. We believe that the next major breakthrough in AI will stem from innovations in efficient systems, rather than simply larger models.What You Will CreateGlobal Metadata Substrate. Design and refine the global metadata and transactional substrate that enables atomic consistency and schema evolution across exabyte-scale data systems.Adaptive Engines. Architect systems that self-optimize, reorganizing and compressing data according to access patterns, achieving unprecedented efficiency improvements.Intelligent Data Layouts. Innovate new encoding and layout strategies that challenge the theoretical limits of signal per byte read.Autonomous Compute Pipelines. Spearhead the development of distributed compute platforms that scale predictively and maintain reliability even under extreme load and failure conditions.Research to Production. Partner with Granica Research to transform advances in compression and probabilistic modeling into production-ready, industry-leading systems.Latency as Intelligence. Propel systems forward by optimizing for latency as a key aspect of intelligence.

With support from prominent Silicon Valley investors, Peregrine Technologies empowers public safety organizations, state and local governments, federal agencies, and private sector entities to tackle societal challenges with unparalleled speed and precision. Our AI-driven platform transforms isolated and disparate data into actionable intelligence, rapidly presenting critical information that enables improved decision-making and outcomes. Currently, Peregrine serves hundreds of clients across over 30 states and two countries, impacting more than 125 million individuals, as we broaden our reach into enterprise markets and international territories.TeamOur engineering team is deeply committed to the idea that empathy enhances our solutions. Understanding how users interact with our products is fundamental to our approach. Engineers have the unique opportunity to collaborate closely with our onsite team to grasp the diverse use cases that Peregrine addresses.We cherish both ownership and teamwork; you will be fully accountable for significant features while working hand-in-hand with fellow engineers to ensure successful delivery. We believe that humility and empathy are critical for crafting effective solutions, and you will engage directly with our deployment team and users as we refine our offerings to meet their needs. Ingenuity and perseverance are vital in realizing our vision.RoleAs part of our new AI team, you will play a key role in delivering unique value to our clients. This team is responsible for designing powerful and intuitive user experiences powered by generative AI. You will explore entirely new interaction methods for users—whether through natural language commands or by enabling AI agents to manage complex tasks on their behalf. Your contributions will shape impactful AI-driven features that assist customers in solving real-world challenges more efficiently.Your work will encompass a variety of intricate challenges, including scaling our platform to process terabytes of data from multiple sources, efficiently querying and alerting users about this data in real-time, and optimizing search algorithms for swift result delivery.While our technology stack is continuously evolving, it is built on a foundation that includes Python, Django, Celery, Airflow, and Kafka for the backend; React, Redux, and Mapbox for the frontend; PostgreSQL and Elasticsearch for data storage; machine learning models hosted in Bedrock and Sagemaker; and utilizing AWS, Pulumi, Terraform, and Kubernetes for our infrastructure.

fractional-ai is looking for a Senior or Staff Software Engineer to join the San Francisco office. This position centers on building advanced AI solutions with a team that values both technical depth and collaboration. Role overview This role focuses on designing and developing AI-driven systems. The work involves solving technical challenges and contributing to projects that push the boundaries of what AI can achieve. Collaboration with other engineers and stakeholders is a key part of daily responsibilities. Who will thrive Experienced engineers with a strong background in software development Those who enjoy working on complex technical problems Individuals who value teamwork and open communication Location This position is based in the San Francisco office.

About UsXOXO is an innovative research lab dedicated to crafting intelligent interfaces that enhance everyday life. Our stealth team, composed of passionate engineers, designers, and researchers, is focused on solving unique challenges that go beyond the workplace.With recent advancements in infrastructure, architecture, and model layers, we are actively seeking skilled builders to create the application layer that will actualize our visionary concepts.About the RoleWe are on the lookout for a proficient iOS engineer to lead the development of XOXO’s consumer app, featuring a pioneering interface for intelligence. This position calls for a robust engineer capable of managing the entire mobile surface area, from architecture and performance to refining a visually appealing design system that ensures intentional user interactions.A specific background is not mandatory; what truly matters is your passion for ownership: you take charge, work swiftly without compromising quality, and aspire to create a mobile product that redefines craftsmanship and performance standards.What You’ll DoDesign and launch the initial versions of our React Native app, transitioning it from concept to production.Convert a visually rich design system into reusable components, motions, and interaction patterns with seamless performance.Develop new product interfaces that seamlessly integrate modern AI/ML capabilities in a mobile-friendly manner.Enhance app performance, focusing on rendering, startup, memory consumption, battery usage, and perceived speed.Establish high standards for mobile engineering quality (including testing, monitoring, and release management) while collaborating with various teams to ensure successful delivery.

Role overview MidiHealth is hiring a Staff Software Engineer - AI Engineer for a hybrid role in the San Francisco Bay Area. The position focuses on building and improving AI-powered solutions that contribute to better healthcare outcomes. What you will do Collaborate with cross-functional teams to design and implement AI-driven systems for healthcare. Develop scalable architectures and write efficient algorithms tailored to healthcare applications. Uphold strong software quality standards throughout the development lifecycle. Location This position is hybrid, with work based in the SF Bay Area.

At Plaid, we envision a future where financial interactions are seamless and intuitive. Our mission is to drive this evolution by crafting powerful tools and experiences that developers leverage to create impactful financial products. With our technology, millions of individuals can manage their finances more effectively. Partnering with renowned companies like Venmo, SoFi, and several Fortune 500 firms, we simplify the process of connecting financial accounts to the applications people depend on. Our network encompasses over 12,000 financial institutions across the US, Canada, the UK, and Europe. Established in 2013, our headquarters is in San Francisco, complemented by offices in New York, Washington D.C., London, and Amsterdam.The advent of AI and intelligent systems marks a pivotal shift in technology, following the eras of mainframes, personal computing, the internet, and mobile devices. We believe that AI will fundamentally transform the FinTech sector—altering consumer finance management, application development, and operational dynamics across businesses.Plaid's Role in the AI-Driven FinTech LandscapePlaid is uniquely positioned to become the backbone of financial data and insights for AI-powered applications in this rapidly evolving FinTech ecosystem.We advocate for consumers to manage their finances effortlessly through conversational AI interfaces. Our commitment extends to ensuring a reliable consent and authorization manager for enhanced privacy and security. We envision a world where identity verification and fraud prevention in AI solutions are seamlessly integrated for users. The demand for such innovations is growing.Leading AI companies, significant fintechs, and customer support platforms are actively integrating Plaid into their AI-driven products and solutions.AI-Enhanced Customer Experiences at PlaidThe rapid advancement of model intelligence presents a unique opportunity for Plaid to reinvent our operations and customer interactions, optimizing the overall experience.Our initial forays into AI-driven customer support have yielded substantial business benefits, demonstrating our commitment to innovative solutions that elevate customer satisfaction.

Join Saris AI as a Staff Backend Software Engineer, where you will play a pivotal role in developing innovative solutions that harness the power of artificial intelligence. In this dynamic position, you will collaborate with cross-functional teams, design scalable systems, and contribute to the overall architecture of our backend solutions.

Ironclad is the premier AI contracting platform that revolutionizes the way agreements are treated as valuable assets. Contracts are processed more swiftly, insights emerge instantaneously, and workflows are seamlessly advanced—all while maintaining your control. Whether you are engaged in buying or selling, Ironclad streamlines the complete process on a single intelligent platform, granting leaders the visibility necessary to stay ahead of the curve. This is why the most innovative organizations in the world, such as OpenAI, the World Health Organization, and the Associated Press, trust Ironclad to expedite their operations.Consistently recognized as an industry leader, Ironclad has been named a Leader in the Forrester Wave and the Gartner Magic Quadrant for Contract Lifecycle Management. We have also been acknowledged as a Great Place to Work by Fortune and one of Fast Company’s Most Innovative Workplaces. With backing from top investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton, we are poised for continued growth. For more details, visit www.ironcladapp.com or follow us on LinkedIn.AI Engineering at IroncladAt Ironclad, we are accelerating our AI initiatives to transform how contracts are created, managed, and executed throughout organizations. We are in search of a Generative AI Application Developer to swiftly develop and implement high-impact legal AI product features.In this role, you will be the go-to expert for AI feature development, leveraging our existing AI platform. You will establish a Prompt Strategy, utilizing established Retrieval-Augmented Generation (RAG) services and Large Language Model (LLM) APIs to create intelligent product capabilities such as summarization and redlining.Collaboration with product managers and designers will be key as you translate user requirements into production-ready LLM application logic. Your success will be determined by your ability to design optimal context inputs and craft effective prompts that maximize the accuracy, relevance, latency, and reliability of user-facing features.

Join Oura Health as a Staff Software Engineer in AI Operations, where you will play a pivotal role in building and optimizing cutting-edge AI systems that enhance user experience and operational efficiency. You will collaborate with a dynamic team of engineers and data scientists, leveraging your expertise to develop innovative solutions that push the boundaries of health technology.

About UsAt XOXO, we are at the forefront of innovation, creating intelligent solutions that enhance everyday life. Our dedicated team of engineers, designers, and researchers is focused on exploring groundbreaking approaches to challenges faced beyond the workplace.With significant advancements in infrastructure, architecture, and model development, we are seeking skilled builders to shape the interface and application layer that will realize our ambitious vision.About the RoleWe are looking for a seasoned Data/ML Engineer to construct the foundational data structures and production-level ML systems that will make our product feel seamless, dependable, and intelligent. This role encompasses the entire development cycle: from designing high-throughput pipelines to defining robust data models and deploying low-latency feature and model serving systems capable of handling real-world demands.You will collaborate closely with the founders and our early engineering team to transition prototypes into production, transforming complex, real-world signals into reliable datasets and real-time functionalities that drive our core product experiences.What You’ll DoDevelop and manage high-throughput batch and streaming pipelines for analytics, training, and product signals.Take ownership of real-time feature pipelines and online feature serving to ensure low-latency inference.Design and govern dimensional data models while managing schema evolution without disrupting downstream users.Implement and optimize model serving infrastructure to adhere to strict latency and reliability service level objectives (SLOs).Define and enforce event schemas, telemetry standards, and data contracts across various teams.Collaborate with engineering, product, and research teams to translate ambiguous product requirements into measurable, enduring systems.

At Endeavor AI, we are redefining the landscape of enterprise AI solutions. Our innovative software serves as the distribution platform for cutting-edge AI models that will shape a more efficient world.We believe that artificial intelligence will revolutionize various sectors such as legal, healthcare, and finance. However, our primary mission is to create AI that can construct the very infrastructure that supports its own advancement. Our focus is on the building materials industry, which is currently hampered by outdated manual processes for quoting, order entry, and pricing. These inefficiencies not only result in lost revenue but also lead to unnecessary labor costs. Our AI-driven product addresses these challenges, and as we establish dominance in this sector, we plan to expand into other industries.While research labs develop the models of the future, our team is committed to delivering the last-mile solutions necessary for their implementation. We tackle the complexities of real-world environments, ensuring the reliability and effectiveness of our AI applications while integrating them into existing, traditional systems.Our Principles:We embrace boldness, especially when faced with skepticism about our goals.We prioritize truth and clarity over comfort.We are determined to succeed and are dedicated to hard work.The Role | Staff Software Engineer:In this role, you will optimize our applications to enhance the performance of critical business functions. You will independently identify bottlenecks in our codebase and implement improvements. This position offers a high degree of autonomy, allowing you to design database schemas, elevate code quality, and refine existing software architecture.

About BroccoliBroccoli is revolutionizing the $500 billion home services industry by developing an AI operating system designed to empower trades businesses such as HVAC and roofing. Our intelligent AI agents handle customer interactions, manage job bookings, and ensure every lead is effectively captured.With the backing of prominent venture capital firms and a successful $27 million Series A funding round, we are on an aggressive growth trajectory. Collaborating with top private equity-backed home service platforms, we anticipate expanding our team fivefold by 2026, presenting a unique opportunity to join us early and make a significant impact.Why Join Broccoli?As a Staff Engineer, you will be instrumental in establishing the technical backbone of Broccoli AI. Your responsibilities will include ownership of critical systems, influencing architectural decisions, and shaping our development and deployment processes on a large scale.Immediate Impact: Your contributions will directly enhance production systems, benefiting hundreds of customers.Category Creation: Play a pivotal role in defining a new category of AI-powered workforce within an expansive market.Speed & Ownership: Enjoy the advantages of a small team with rapid feedback loops and substantial decision-making authority.Founder Collaboration: Partner closely with experienced founders to drive product and technical vision.What You’ll DoDesign, develop, and scale backend systems and internal tools for our AI agent platform.Take ownership of essential APIs and integrations, including systems like ServiceTitan.Lead complex features from initial design through to production deployment.Enhance real-time voice capabilities, reliability, and intelligence of AI agents.Mentor fellow engineers and help implement best practices across the team.Balance speed and quality while scaling systems to accommodate live customer traffic.What We’re Looking For7+ years of experience in backend or full-stack engineering.Strong system design and architectural skills.Proven experience in deploying and maintaining production systems at scale.Ability to thrive in high-growth, ambiguous startup environments.A proactive approach with a strong execution mindset.

About Watney RoboticsAt Watney Robotics, we are pioneers in developing autonomous robotic solutions aimed at enhancing critical infrastructure. Recently securing $21 million in seed funding from leading investors such as Conviction, Abstract, and A*, we are collaborating with the world’s largest hyperscalers to propel the expansion of data centers and streamline maintenance processes.This is an extraordinary opportunity to join our team at a pivotal stage as we transition from prototype to large-scale production. Be part of a team that not only ships cutting-edge systems but also plays a crucial role in shaping the operational framework of an innovative robotics company.

P-186 At Databricks, we are passionate about empowering data teams to tackle some of the world’s most challenging problems, from security threat detection to cancer drug development. Our mission is to build and operate the leading data and AI infrastructure platform, enabling our customers to concentrate on the high-value challenges that are integral to their own objectives. Founded in 2013 by the original creators of Apache Spark™, Databricks has rapidly evolved from a small office in Berkeley, California, to a global powerhouse with over 1000 employees. Trusted by thousands of organizations, from startups to Fortune 100 companies, we are recognized as one of the fastest-growing SaaS companies worldwide. Our engineering teams create highly sophisticated products that address significant needs in the industry. We continuously push the limits of data and AI technology while maintaining the resilience, security, and scalability essential for our customers' success on our platform. We manage one of the largest-scale software platforms, consisting of millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we frequently encounter cloud hardware, network, and operating system faults, and our software must effectively shield our customers from these challenges. Modern data analysis leverages advanced techniques, such as machine learning, that far exceed the capabilities of traditional SQL query engines. As a Software Engineer on the Runtime team at Databricks, you will be instrumental in developing the next generation of distributed data storage and processing systems that outshine specialized SQL query engines in relational query performance, while providing the flexibility and programming abstractions to support a variety of workloads, from ETL to data science. Examples of projects you may work on include: Apache Spark™: Contributing to the de facto open-source framework for big data. Data Plane Storage: Developing reliable, high-performance services and client libraries for storing and accessing vast amounts of data on cloud storage backends like AWS S3 and Azure Blob Store. Delta Lake: A storage management system that merges the scalability and cost-effectiveness of data lakes with the performance and reliability of data warehouses, featuring low latency streaming. Its higher-level abstractions and guarantees, including ACID transactions and time travel, significantly reduce the complexity of real-world data engineering architectures. Delta Pipelines: Aiming to simplify the management of data engineering pipelines.

About the RoleJoin Saris-AI, an innovative applied AI startup based in San Francisco and Montreal, where we are revolutionizing the banking industry. Our mission is to address a $100 billion annual challenge, growing rapidly each quarter, as we explore the potential of advanced multi-turn AI systems.We focus on automation challenges that require extensive contextual reasoning, tool integration with existing systems, and adherence to compliance requirements—problems that lack straightforward solutions.Our successful deployment of real AI agents managing customer workflows has led to a burgeoning client base, and we are expanding quickly. We seek highly skilled technical professionals who aspire to make a significant impact from the outset.Core Engineering TeamWe are in search of a passionate Software Developer who excels in dynamic and ambiguous settings. You should have experience guiding products from the initial version to large-scale implementation, and a penchant for crafting sustainable, elegant systems.Your Key ResponsibilitiesConceive, develop, test, deploy, maintain, and enhance AI-driven software solutions tailored for the fintech sector.Manage project timelines effectively, prioritizing tasks to deliver exceptional features.Contribute to product and business strategies as a key player, influencing both technical frameworks and overarching goals.Encourage and uphold best practices, including code reviews and testing.Candidate ProfileProven experience in backend/fullstack engineering, particularly within SaaS projects with significant impact.Extensive knowledge of Python (Django, Flask, FastAPI), TypeScript (React), Docker, and cloud platforms (AWS/GCP).Solid track record in designing, constructing, and optimizing distributed systems.Strong foundation in both relational and non-relational databases (PostgreSQL, Redis).Expertise in API design (REST, GraphQL) and deployment practices.Preferred QualificationsExperience building intricate workflow orchestration systems.Familiarity with cloud infrastructure.Background in creating integrations or data pipelines.A passion for mentoring and developing team capabilities.

Join our dynamic team at Sentry as a Staff Software Engineer specializing in AI Developer Tooling. In this pivotal role, you will contribute to the development and enhancement of cutting-edge AI tools that empower developers worldwide. Collaborate with cross-functional teams to identify challenges and deliver innovative solutions that optimize the software development lifecycle.

Join Our Team as a Staff Software Engineer, Full-Stack - Enterprise Generative AI At Scale AI, we are revolutionizing enterprise workflows through our Scale Generative AI Platform (Scale GP), an advanced AI solution that provides APIs for knowledge retrieval, inference, evaluation, and much more. We are seeking a talented full-stack engineer, with a strong front-end focus, to develop innovative AI-powered applications that transform how businesses operate. In this dynamic role, you will collaborate on diverse projects, ranging from cutting-edge customer-facing applications to internal SaaS products. Be part of our engineering team that powers initiatives such as TIME’s Person of the Year AI experience (see it in action), showcasing how our technology impacts the media landscape. Additionally, you will enhance Scale’s GenAI Platform (SGP), a robust system enabling businesses to create and manage AI agents at scale. Whether developing interactive AI assistants or refining our core SaaS platform, your contributions will shape the future of AI in real-world applications.

Supported by prominent Silicon Valley investors, Peregrine Technologies empowers public safety organizations, state and local governments, federal agencies, and private-sector institutions to address societal challenges with unparalleled speed and precision. Our AI-driven platform transforms fragmented and isolated data into actionable operational intelligence, quickly surfacing mission-critical information to facilitate informed and timely decisions that enhance outcomes across various contexts. Currently, Peregrine serves hundreds of customers across more than 30 states and two countries, impacting over 125 million individuals—and we are amplifying our influence as we expand into enterprise markets and internationally.Our TeamAs an engineering team, we place a strong emphasis on empathy, believing it enhances our solutions. Understanding how users interact with our product is essential, and engineers will collaborate closely onsite to grasp the diverse use cases that Peregrine addresses.We are seeking a Staff Software Engineer to join our core engineering teams. In this role, you will collaborate cross-functionally with design and product management to develop robust, scalable, and user-centric systems. Our teams confront a variety of challenges, from enabling real-time user collaboration on intricate maps to constructing high-scale backend architectures capable of processing billions of data points.We value ownership and teamwork; you will take complete responsibility for significant features and work closely with fellow engineers to ensure successful completion. We believe that humility and empathy are vital for crafting the right solutions—you will work directly with our deployment team and users as we refine our offerings to meet their needs. Creativity and perseverance will be key to executing our vision.RoleWe are looking for a Staff Software Engineer to join our expanding team, lead impactful projects, cultivate an inclusive team culture, and steer technical decision-making.This position is ideal for someone who excels in both people management and hands-on technical leadership. You will build a high-performing team, guide them through complex technical challenges, and ensure their work aligns with our business goals. The ideal candidate will effectively mentor while upholding high standards in technical execution.You will drive significant work that delivers value to our customers, from supporting emergency responders during hurricanes to de-escalating intricate organized crime situations. We are developing innovative capabilities that enable...

Join David AI as a Staff Product EngineerAt David AI, we are pioneering the field of audio data research, applying a rigorous R&D methodology to create robust datasets that empower AI models. Our vision is to integrate AI seamlessly into daily life, with audio serving as the key medium. As the demand for high-quality training data grows, we position ourselves as the solution.Founded in 2024 by a team of seasoned engineers from Scale AI, we quickly garnered the trust of leading FAANG companies and AI labs. Our recent $50M Series B funding round was led by prestigious investors including Meritech and NVIDIA, underscoring our potential in the audio AI landscape.We pride ourselves on our dynamic, collaborative, and ambitious team, and we are on the lookout for exceptional talent in research, engineering, product, and operations to help us redefine audio AI.About Our Engineering TeamOur engineering team is at the forefront of innovation, building the infrastructure, platforms, and models that convert raw audio into valuable data for top-tier AI labs and enterprises. We are a close-knit group of product engineers, infrastructure experts, and machine learning specialists who are dedicated to establishing the first-ever audio data research organization.We operate with agility, taking ownership of our projects from inception to deployment, delivering production-ready solutions on a daily basis. Our engineers design real-time pipelines that manage vast amounts of speech data while deploying advanced generative audio models.Your RoleAs a Staff Product Engineer, you will spearhead our Product Engineering team, developing state-of-the-art products that enable our clients to harness audio data effectively for model training. You will collaborate with researchers to continually refine our data collection methodologies.Your ResponsibilitiesLead the development of full-stack features, rapidly iterating to deliver daily innovations to our users.Construct scalable systems that process terabytes of audio data and extract actionable insights.Deploy and assess LLM- and DSP-based solutions to enhance customer understanding of their data.Facilitate research iterations and deployment interfaces for data collection in collaboration with researchers and operations.