Founding Applied AI Engineer

Join us as a Founding Applied AI Engineer at Atlas, where you will play a pivotal role in shaping the future of artificial intelligence. This is not just a job; it's an opportunity to drive innovation and impact at a foundational level. You will be tasked with developing and implementing cutting-edge AI solutions that address complex challenges across variou…

Join Databricks as a Staff Backend Software Engineer on our AI Platform team, where you will play a pivotal role in shaping the future of data analytics and machine learning. You will work collaboratively with talented engineers to design, develop, and enhance robust backend systems that drive our cutting-edge AI solutions. Your innovative mindset and technical expertise will help us deliver unparalleled value to our customers.

About Us:LangChain is dedicated to making intelligent agents commonplace. We are pioneering the foundations of agent engineering in the real world, empowering developers to transition from prototypes to production-ready AI agents that teams can depend on. Initially known for our widely embraced open-source tools, we have expanded to provide a comprehensive platform for constructing, assessing, deploying, and managing agents at scale.Our products, including LangChain, LangGraph, LangSmith, and Agent Builder, are utilized by teams delivering genuine AI solutions in both startup environments and large corporations. Millions of developers trust our technology to elevate AI initiatives at organizations such as Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.With $125M raised in our Series B funding from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we are poised for continued product development and accelerating growth, where each team member plays a significant role in shaping our technology and collaborative culture.About the Role:On-site 5 days a week in San FranciscoWe are seeking a Senior Fullstack Engineer for our commercial product, LangSmith, which serves as an observability and evaluation platform. In this role, you will have the chance to influence the technical direction of our platform while engaging with enterprise clients, developer end-users, and internal stakeholders.Lead the technical architecture and implementation of essential product features for LangSmith, utilizing our entire stack of Go, Python, and TypeScript.Work closely with product and design teams to iterate and refine new features.Mentor and support junior team members, driving ambitious project timelines while upholding high engineering standards.Set an example by producing clean, maintainable, and thoroughly tested code.

Join our innovative team at Databricks as a Staff Backend Software Engineer focusing on our cutting-edge AI Platform. In this pivotal role, you will be responsible for designing, developing, and optimizing backend systems that empower data scientists and engineers to build AI applications efficiently.As a key contributor, you will work closely with cross-functional teams to deliver scalable solutions that enhance our platform's capabilities. Your expertise will drive the development of robust features that support machine learning workflows and big data processing.

Join Databricks as a Staff Backend Software Engineer for our cutting-edge AI Platform. In this pivotal role, you will design and implement robust backend systems that power innovative AI solutions. Collaborate with a talented team to drive impactful projects and shape the future of data and AI.

Join the Team at Bretton AIBretton AI stands at the forefront of artificial intelligence in the financial services sector, providing an essential platform that organizations like Robinhood, Mercury, and Gusto rely on to streamline critical tasks, including anti-money laundering and counter-terrorism efforts.With over $95 million raised from renowned investors such as Greylock, Y Combinator, and Thomson Reuters Ventures, we are located in the heart of San Francisco. Our talented team hails from prestigious companies including SpaceX, Google, Netflix, Stripe, and Plaid.Your RoleAs a Platform Engineer, you will be instrumental in constructing and maintaining the infrastructure that underpins our compliance solutions at scale. You will take charge of reliability, performance, and scalability across our core platforms.Your responsibilities will include designing Postgres schemas, optimizing queries, developing high-throughput services, orchestrating long-running workflows with Temporal, and ensuring we maintain a commitment to a remarkable 99.9%+ uptime for our clients who process thousands of cases daily.In this role, you'll produce backend code for production, design distributed systems, and manage the infrastructure that allows our product teams to deploy rapidly and efficiently.Key ResponsibilitiesDevelop APIs and services capable of managing thousands of concurrent requests.Create ingestion → assessment → delivery pipelines for our case management.Implement Temporal workflows to manage long-running, stateful processes.Design and refine PostgreSQL schemas and queries for compliance workflows.Oversee CI/CD, deployments, and infrastructure-as-code while enhancing observability through logging, tracing, and metrics.Troubleshoot slow queries, memory leaks, and race conditions in our production systems.What We're SeekingEssential Qualifications4+ years for Engineer / 6+ years for Sr. Engineer / 8+ years for Staff Engineer in backend or infrastructure roles.Strong understanding of systems fundamentals, including distributed systems, databases, APIs, and concurrency.Demonstrated production experience with live systems, including debugging, incident response, and participation in on-call rotations.

About Mercor Mercor partners with leading AI labs and enterprises to advance the future of work. The company’s network of over 30,000 experts earns more than $2 million daily, sharing expertise that supports AI development beyond just code. Mercor’s mission is to create a new category of work where deep knowledge drives progress in artificial intelligence. Mercor is a Series C company valued at $10 billion. The team works in person five days a week from offices in San Francisco, New York City, and London. Role Overview: Engineering Manager, Applied AI This role leads engineering teams within the Applied AI division, focusing on systems that improve model quality, such as evaluation infrastructure and annotation tools. The Engineering Manager works closely with product and research groups to keep Mercor’s technology at the forefront of AI. The position is based in San Francisco and requires full-time, on-site presence. Key work includes building partnerships with top AI labs and directly improving advanced models through better data management, evaluation, and system enhancements. This role calls for strategic thinking, a hands-on leadership approach, and a strong sense of ownership. Main Responsibilities Team Development Manage and grow a team of 6-10 engineers Mentor engineers and support their professional growth Foster a culture of ownership and set high expectations for execution Shape hiring processes and engineering practices to build a high-performing team Applied AI Systems Create insights and methods for evaluation systems that measure and improve model performance Lead projects to improve data quality, operational efficiency, system stability, and scalability Scale products that generate high-quality training data and refine human-in-the-loop workflows Technical Leadership Guide system design for complex AI applications

In a world where software is rapidly evolving, artificial intelligence is at the forefront of this transformation. At Scale AI, we recognize the immense potential of AI to significantly enhance human capabilities. Imagine having a personal tutor, coach, assistant, shopper, travel guide, and therapist available to you throughout your life. As global industries adapt to this revolutionary landscape, leading platform companies are racing to develop large language models (LLMs) at an unprecedented scale, while enterprises strive to integrate these technologies into their existing products. Ensuring these models are safe, aligned, and genuinely useful requires meticulous human evaluation and reinforcement learning from human feedback (RLHF) throughout their development cycle. This innovative approach has given ChatGPT a substantial advantage in the marketplace.At Scale, our offerings include the Generative AI Data Engine, SGP, Donovan, and other advanced tools that drive the most sophisticated LLMs and generative models globally. Our world-class RLHF, human data generation, model evaluation, safety, and alignment are crucial in shaping how humanity will interact with AI.The backbone of these products is our Platform Engineering team. As a Staff Software Engineer, you will play a pivotal role in defining and executing the architectural roadmap and implementation of essential platforms and software systems. You will provide a visionary approach while promoting adoption across our engineering organization for orchestration, data abstraction, data pipelines, identity and access management, and foundational cloud infrastructure. This role offers the opportunity to engage with cutting-edge AI advancements as Scale collaborates with enterprises, startups, governments, and leading tech companies.

Engineering at Ivo At Ivo, our engineers are the architects of innovation. We pride ourselves on being pioneers in the tech industry, having delivered:An AI agent that integrates seamlessly with MS Word to assist in document editing [2023]A revolutionary approach to embedding models with agentic RAG [2023]Large-scale LLM-based legal fact extraction solutions [2024]A cutting-edge legal assistant capable of efficiently searching extensive contract databases without compromising accuracy [2024]Innovative clustering of legal documents from the same family [2025]Advanced automatic deviation analysis to uncover hidden risks in massive contract databases [2025]The ability to merge contracts with their amendments to create a comprehensive timeline of 'composite' contracts, bringing tears of joy to our clients [2025] RoleAs a Staff Software Engineer at Ivo, you will design, develop, and deploy advanced generative AI products. Your responsibilities will include:Creating comprehensive full-stack generative AI functionalitiesDelivering high-performance UI code and backend systems capable of processing and analyzing millions of contracts efficientlyDesigning intricate pipelines to orchestrate LLMs, data extraction, and clustering algorithms at scaleCollaborating with designers, legal experts, and fellow engineers to reinvent legal workflows in the AI era MissionIn today's fast-paced business environment, in-house legal teams are often overwhelmed, facing long hours and tight deadlines. Our mission at Ivo is to empower these lawyers by leveraging LLMs to reclaim their time. We are building an AI-native platform that automates tedious legal tasks, significantly improving the lives of legal professionals. Despite fierce competition, our software boasts the highest trial win rate in the industry at 85%. We are making a genuine impact, and this is just the beginning.

About UsAt Applied Compute, we specialize in developing Specific Intelligence tailored for enterprises. Our innovative agents are designed to continuously learn from a company’s processes, data, expertise, and objectives. Currently, there exists a significant disparity between the capabilities of AI models in isolation and their reliable performance within real business environments. These systems often fail to adapt to feedback. We are creating a continual learning layer: a robust platform that captures context, memory, and decision-making traces throughout the enterprise, fostering an environment where specialized agents can effectively perform real work.Why Join Us? We are at a unique crossroads in technology. Our product team is focused on developing the platform that will enable a new generation of digital coworkers. Our research team is at the forefront of advancing post-training and reinforcement learning, leading to groundbreaking product experiences. Our applied research engineers work closely with customers, assisting them in deploying models into production. This blend of strong product focus, deep research, and direct customer engagement is our belief in how to advance AI in the enterprise. We take pride in being product-led, research-enabled, and forward-deployed.Our Culture: Our team is composed of engineers, researchers, and operators, many of whom are former founders. We have developed RL infrastructure at OpenAI, created data foundations at Scale AI, and built systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, as well as companies like DoorDash, Mercor, and Cognition. We are fortunate to have backing from leading investors such as Benchmark, Sequoia, and Lux.Ideal Candidates: We are seeking individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel at ease navigating unfamiliar environments—be it a new codebase, a customer’s data architecture, or an entirely new problem domain. A genuine enjoyment in working with customers—listening, empathizing, and understanding their workflows—is essential. We find that former founders, individuals with numerous side projects, or those who have demonstrated an ability to take ownership of projects from start to finish thrive in our environment.The RoleAs a Product Engineer, you will be instrumental in building the platform that supports a new era of digital coworkers, equipping human knowledge workers with the leverage similar to what coding agents provide developers today. This role is pivotal as you will manage projects from inception to completion within our continual learning platform and work closely with both Applied Research and Research Systems, ultimately helping define a new category of technology. Your work will encompass the entire technology stack, including cloud-hosted sandbox environments and enterprise-grade solutions.

About Engineering at Ivo Ivo engineers have led the way in legal technology, introducing several industry firsts: AI agent for automated editing in MS Word (2023) Agentic RAG approaches replacing traditional embedding models (2023) Large-scale legal fact extraction powered by LLMs (2024) Legal assistant for accurate search across vast contract databases (2024) Clustering of related legal documents from the same family (2025) Automated deviation analysis to surface hidden risks in large contract sets (2025) Combining contracts and amendments into time series of composite contracts (2025) Role Overview The Senior Fullstack Software Engineer will design, build, and launch generative AI products that reshape legal workflows. This role covers both front-end and back-end development, with a focus on scale and reliability. Develop full stack generative AI features Deliver performant user interfaces and backend systems capable of processing and analyzing millions of contracts Create data pipelines that coordinate LLMs, extraction, and clustering algorithms Work closely with designers, legal experts, and engineers to change how legal teams operate with AI Our Mission Most major businesses have in-house legal teams who face heavy workloads, tight deadlines, and the repetitive task of reading contracts. Until recently, technology offered little relief. With LLMs, Ivo aims to give lawyers back their time. The mission: restore work-life balance for legal professionals by automating legal tasks through an AI-native platform. Ivo’s software is highly regarded in the industry. Despite strong competition, the company holds an 85% trial win rate, the highest in the field. The team is committed to making a real difference, and there is much more ahead. Why Join Ivo Engineers at Ivo care deeply about code quality and the impact of their work. The team values solutions that make a tangible difference in people’s lives. Location San Francisco

Role OverviewJoin OpenEvidence as a Fullstack Software Engineer, where you will take ideas from concept to execution, driven by the desire to create impactful solutions that will be utilized and appreciated by millions of discerning users globally.We seek exceptional builders who thrive beyond traditional boundaries. Our engineers engage across diverse products and projects, taking full ownership of their work to maximize impact.About OpenEvidenceOpenEvidence is the leading medical AI platform, recognized globally. In just over a year, we’ve achieved over 40% adoption among US clinicians, driven by product excellence and word-of-mouth referrals. With a valuation of $12 billion and a 30-member engineering team composed of talent from MIT, Harvard, and Stanford, we believe that transformative products stem from a small, dedicated group of autonomous builders who are empowered to take ownership and act swiftly. As we expand our team, we are poised to establish the standard platform for medical AI.If you are a top-tier engineer or scientist eager to shape the forefront of technology and deliver tangible outcomes that can positively influence hundreds of millions of lives, we want to connect with you.Our CultureWe believe in engaging at a world-class level. The journey from 0 to 1 and from 1 to 1000 is akin to a professional sport, where unwavering excellence is our benchmark. We understand that pioneering technologies require complete ownership. Significant achievements occur when individuals commit to making them happen.Who You AreIf your goal is simply to complete tasks from 9 to 5, this position is not for you. If you prefer academic writing, this role isn’t for you either. However, if you are ready to dive in, embrace challenges, and create something from scratch that has a direct impact on countless lives and drives substantial revenue, then you may be the right fit.The ideal candidate is a talented builder—intelligent, ambitious, resourceful, self-directed, meticulous, driven, and humble. Sound rare? It is, which is why we have only found 30 like-minded individuals, and we're eager to discover more.Work EnvironmentAll full-time engineering roles require in-person attendance five days a week in San Francisco or Miami.

rillet seeks an Applied AI Engineer based in San Francisco. This role centers on building and refining AI models that address concrete, real-world problems. Collaboration plays a key part, as work often involves teaming up with colleagues from various backgrounds to deliver effective AI solutions. Ongoing analysis and iteration help drive continuous improvement. Key responsibilities Design and implement AI models in partnership with cross-functional teams Analyze datasets to guide model development and optimization Use advanced AI methods to tackle practical challenges Experiment and iterate to enhance model performance over time Location This position is based in San Francisco.

About Tenable:Tenable® is at the forefront of Exposure Management. With 44,000 organizations worldwide counting on us to mitigate cyber risk, we empower 65% of the Fortune 500, 45% of the Global 2000, and numerous governmental agencies. Join us in redefining the cybersecurity landscape!Why Choose Tenable?When you ask our team about what makes Tenable a fantastic workplace, the answer is simple: our people! Together, we innovate cutting-edge cybersecurity solutions, fostering a culture of inclusion, respect, and excellence. As part of the #OneTenable team, you'll collaborate with some of the industry's most talented professionals while having access to the resources necessary to make a meaningful impact. We strive to deliver exceptional results and celebrate our victories together!Note: Applicants must be authorized to work in the U.S. without sponsorship. We currently cannot sponsor work visas.Location: Must reside in or be willing to relocate to the San Francisco/San Jose area.Your Role:At Tenable, we're not just creating exceptional products; we're cultivating a premier engineering culture dedicated to hiring top talent. We are seeking a Senior Software Engineer to be part of a pioneering initiative within our engineering team. In this role, you will design and implement the Agentic AI Platform, an orchestration layer that empowers autonomous agents to reason, plan, and execute intricate security workflows within our Exposure Management ecosystem.This role is highly hands-on and has a significant impact. You won't merely be utilizing LLMs; you'll be constructing distributed systems, state machines, and tools that transform generative models into reliable, enterprise-grade agents.While this role is primarily remote, occasional in-person meetings may be necessary.Your Opportunity:Construct the Agentic Backbone: Design and implement backend services that facilitate multi-agent workflows, enabling AI agents to break down complex user requests, manage states, and execute tasks across distributed microservices....

Responsibilities:Develop Our Product. Take ownership of software features that enhance our AI platform, empowering private market investors to analyze deals swiftly and accurately. This role requires you to actively engage in coding and delivering essential platform components from the ground up.Ensure Quality and Excellence. Establish and maintain coding standards, architectural guidelines, and review procedures; mentor fellow engineers. Co-cultivate a culture centered on practical, reliable, and test-driven development that swiftly meets business requirements.Scale for Growth. Assist in monitoring and scaling the architecture of our platform and its infrastructure.Collaborate Across Functions. Engage closely with product, security, and go-to-market teams to translate our strategic roadmap into actionable features and deliverables.

About the RoleJoin us in revolutionizing audio and video content creation with our cutting-edge AI-powered platform and web application. As a Senior Software Engineer on our AI Platform and Enablement team, you will tackle complex technical challenges to develop innovative solutions for recording, transcribing, editing, and mixing audio and video online.About the TeamYour team is dedicated to integrating state-of-the-art first-party models developed by our in-house AI Research team, as well as utilizing third-party and open-source AI models into the Descript product.In this dynamic role, you will:Create, maintain, and standardize third-party model integrations while providing consultation to other engineering teams needing AI model integration.Design, implement, and sustain our AI infrastructure, supporting the machine learning lifecycle, including data ingestion pipelines, developer experience infrastructure, evaluation frameworks, and GPU deployments.Collaborate closely with Product Managers, Research Engineers, and AI Researchers to address their infrastructure needs and ensure our AI systems are robust, scalable, and efficient.Optimize and scale our models and algorithms for effective inference.Deploy, monitor, and manage AI models in a production environment.

JOIN OUR TEAM AS A PRINCIPAL SOFTWARE ENGINEERAs a Principal Software Engineer at Saviynt, you will take the helm in designing, developing, and scaling our core Java-based backend services that drive our multi-tenant AI platform. Your expertise will be pivotal in architecting and optimizing platform components to handle high-throughput, low-latency, and mission-critical workflows.Your role will encompass integrating and managing essential data systems, including relational databases, Redis, Elasticsearch, and LDAP, ensuring they perform reliably and are always available. You will spearhead the modernization of backend services, refactoring legacy Java components while transitioning to contemporary patterns such as reactive programming and event-driven architectures.In this collaborative environment, you will work closely with cross-functional teams across DevOps, Security, SRE, and Application Engineering to enhance platform capabilities. You will evaluate and implement scalable solutions for authentication, authorization, tenant isolation, and configuration management.As a mentor, you will guide engineers in deep Java design principles, debugging complex issues, and engineering for reliability. You will also be responsible for developing and maintaining platform APIs, service orchestration logic, and critical workflows that support core business operations. Your keen eye will help identify and remediate bottlenecks in Java services, JVM performance, and memory management. Additionally, you will build automation and guardrails that enhance developer productivity and service reliability through CI/CD pipelines and code linting.Partnering with architecture and leadership, you will drive the long-term technical strategy and evolution of our platform.

WHO WE AREAt Applied Compute, we are pioneering the development of Specific Intelligence tailored for enterprises. Our innovative agents continuously learn from a company’s processes, data, expertise, and goals, creating a dynamic learning layer that captures context, memory, and decision traces. This empowers specialized agents to tackle real-world tasks effectively.Why We're Excited: We operate at a unique convergence of technology and practical application. Our product team is responsible for developing the platform that drives a new generation of digital coworkers. Simultaneously, our research team explores the cutting-edge of post-training and reinforcement learning to craft exceptional product experiences. Our applied research engineers work closely with clients to deploy agents into production, ensuring that we combine strong product development with deep research and hands-on implementation.Our Team: We are a diverse group of engineers, researchers, and operators, many of whom are former founders. Our backgrounds include building reinforcement learning infrastructure at OpenAI, data foundations at Scale AI, and operational systems at other leading tech companies. We are proud to collaborate with Fortune 50 customers and are supported by top-tier investors like Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. Candidates should be adept at quickly navigating unfamiliar environments—be it a new codebase, a client's data architecture, or a novel problem domain. Our team values empathy and understanding in our customer interactions, so those who enjoy listening, learning, and delivering results tend to excel here.THE ROLEAs a Forward Deployed Engineer, you will engage directly with customers to deploy and integrate our platform within their technical environments. You will be responsible for constructing the infrastructure and tools necessary to transform research into production systems. This role requires ownership of customer engagements from start to finish, including architecting environments, building large-scale data pipelines, creating evaluation frameworks for model training, and ensuring our platform delivers scalable value.

About AnthropicAt Anthropic, we are dedicated to developing AI systems that are not only safe but also interpretable and steerable. Our mission is to ensure that AI serves the best interests of our users and society at large. Our rapidly growing team comprises passionate researchers, engineers, policy experts, and business leaders, all collaborating to create beneficial AI technologies.About the Role:We are seeking skilled software engineers to join our Platform team. This team is responsible for building the essential foundations that enhance product development across Anthropic. We manage the infrastructure and systems that teams rely on for reliable and scalable deployment to both internal users and hundreds of thousands of external clients worldwide.In this role, you will independently define and scope complex, multi-month projects, fostering cross-organizational alignment in ambiguous problem areas. Your architectural decisions will significantly influence the way Anthropic develops and scales its products. You will collaborate closely with research teams to transform cutting-edge capabilities into market-ready solutions, ensuring a lasting impact on our platforms that serve both internal and external engineering teams.Multiple teams are actively hiring, and team assignments will be determined post-interview based on your skills, interests, and the needs of the organization. This flexible approach helps us align talented engineers with backend product initiatives where they can make the most significant impact and experience growth.Your Responsibilities:Platform Acceleration: You will enhance developer productivity for product engineers at Anthropic. This includes architecting and optimizing critical development infrastructure that fuels our AI product development, encompassing development environments, observability, and CI/CD pipelines. You will work closely with product teams to understand their workflows and eliminate friction points, resulting in a profound multiplier effect across the product organization, thus accelerating our mission.Service Infrastructure: You will build and maintain the core infrastructure that supports Anthropic's engineering efforts, ranging from service mesh and observability systems to deployment pipelines and shared libraries. Your contributions will empower product teams to construct and operate reliable services at scale, positioning you as a critical force multiplier within the company.Multicloud: You will develop and sustain the infrastructure that allows Anthropic to function seamlessly across various cloud providers, focusing on cloud-agnostic solutions that enhance our operational efficiency.

About Nooks.ai:Nooks is revolutionizing the sales landscape with its AI Sales Assistant Platform (ASAP), designed to automate routine tasks so that sales representatives can concentrate on the essential human aspects of selling and significantly enhance their sales pipelines. Our platform has empowered thousands of sales professionals to meet their quotas, saving customers countless hours and generating hundreds of millions in sales pipeline. Trusted by leading sales teams at companies like Hubspot, Rippling, and Toast, Nooks is poised for remarkable growth.With over $70M raised from top-tier venture capitalists, including Kleiner Perkins—marking its first investment in sales technology in over a decade—Nooks has achieved a staggering 4x growth in annual recurring revenue (ARR) followed by an additional 3x growth, and we aim to triple it once more this year.Discover more at Nooks.ai.About the Role:We are seeking an experienced Fullstack Software Engineer to join our dynamic engineering team. In this pivotal role, you will leverage your expertise in large language models (LLMs) and AI-driven agents to redefine outbound sales strategies for enterprises. You will have the chance to enhance our existing offerings and collaborate with clients to create innovative solutions. As a senior contributor, you will work in tandem with our engineering leadership to define both the technical and product vision. If you thrive in a fast-paced environment and are eager to help us shape a groundbreaking sales technology, we want to connect with you.What You’ll Do:Develop and maintain robust, high-performance applications across the full technology stackDrive the design and implementation of new features within our core platformCollaborate closely with product, design, and other engineering teams to deliver impactful solutionsArchitect and develop front-end components utilizing React and TypeScriptBuild and maintain back-end services and APIs using Node.js and PythonMentor junior engineers on best practices, coding standards, and architectural principlesOversee the end-to-end delivery of features, from ideation to production deploymentContinuously enhance the performance, scalability, and reliability of our applicationsContribute to the technical roadmap of the company, establishing standards for excellence in engineering