Senior Principal Software Engineer - Applied Generative AI

Employee Applicant Privacy NoticeWho We Are:Join us in shaping a brighter financial future.At SoFi, we are redefining personal finance by transforming the way individuals engage with their financial journeys. As a cutting-edge financial services provider and national bank, we leverage innovative, mobile-first technology to empower our millions of members to achieve their aspirations. In a rapidly evolving industry, we pride ourselves on making a meaningful impact on the lives of our members while adhering to our core values. Invest in your future with SoFi and be part of the financial revolution.The Role:We are seeking a seasoned Senior Principal Software Engineer to provide strategic AI leadership within SoFi’s technology division. In this pivotal position, you will significantly influence and guide the AI enablement strategy in collaboration with key engineering and data science leaders. Your focus will be on promoting best practices in AI applications across diverse domains, especially in software development and back-office operations. You will lead the vision for infrastructure and methodologies essential for supporting these initiatives, ensuring rapid adoption of the latest foundational model capabilities and emerging best practices. To achieve this, you will implement a build-over-buy strategy to minimize friction from reliance on third-party vendors while making judicious investments in those that can expedite our delivery and foster future innovation.This is an exciting opportunity to tackle complex challenges within a dynamic, collaborative, and innovative environment. The ideal candidate will be a thought leader in AI applications for software development, capable of impacting both technical and non-technical team members. You should possess a strong background in mentoring and skill development across our organization and advocate for the integration of AI alongside traditional techniques to enhance both velocity and quality. You will be expected to lead prototype development and production solutions as necessary to facilitate widespread organizational changes.What You’ll Do:Technical Leadership: Provide visionary guidance on enabling and integrating AI throughout the organization.Strategic Partnerships: Collaborate with cross-functional teams to identify and implement AI solutions.

Join the Innovative Team at CodeRabbit!At CodeRabbit, we are at the forefront of research and development, dedicated to creating cutting-edge human-machine collaboration systems. Our mission is to revolutionize code review processes through a next-generation partnership between skilled engineers and sophisticated AI algorithms. By harnessing the power of generative AI, we aim to enhance software development efficiency and quality, achieving results that far exceed individual capabilities.Role OverviewAs an Applied Generative AI Engineer, you will be instrumental in designing, building, and deploying state-of-the-art generative AI systems that drive our code review and developer productivity tools. Your work will center around integrating cutting-edge methodologies such as Retrieval-Augmented Generation (RAG), Reinforcement Learning from Human Feedback (RLHF), and multi-step agentic reasoning into impactful product workflows.Collaboration will be key! You will work closely with engineers, product managers, and technical leads to build intelligent systems that deliver tangible value, transforming how developers write, review, and ship code.Key ResponsibilitiesDesign and enhance LLM-based systems for contextually rich and high-quality code reviews.Create and optimize agentic workflows that reason across various steps and contexts.Develop and manage knowledge base and retrieval pipelines, including chunking, embeddings, and semantic search.Deploy generative AI models into production and monitor their performance.Collaborate with cross-functional teams to ensure AI outputs meet user needs and align with product objectives.Analyze user feedback and usage data to iteratively refine system performance.Implement RLHF, ranking, and reward modeling techniques to enhance response quality over time.Stay updated on the latest advancements in generative AI and apply them to emerging use cases.QualificationsEducation: Bachelor’s degree in Computer Science, Engineering, Artificial Intelligence, or a related field, or equivalent practical experience.Experience: Minimum of 3 years of experience working with machine learning or LLM-based systems in production environments, with at least 2 years dedicated to generative AI.Technical Skills: Proficiency in programming languages and frameworks relevant to AI development.

Join Our Innovative Team at ArcadeAt Arcade, we are revolutionizing the way physical products are created with our cutting-edge AI platform. We empower individuals to turn their creative ideas into tangible products seamlessly, utilizing natural language and generative AI. Our mission is to democratize product design, making it as effortless as sharing a post online.Backed by a remarkable $42M in funding from industry-leading investors including Reid Hoffman and Ashton Kutcher, our company is a rising star in the tech landscape. Guided by our founder Mariam Naficy and a team steeped in AI and design expertise, we are at the forefront of a new frontier that merges AI, personal expression, and on-demand manufacturing.Your Role as an Applied AI EngineerWe are on the lookout for an Applied AI Engineer to enhance our generative AI capabilities. This position combines hands-on model development with the integration of advanced AI techniques into our production systems. You will collaborate with diverse teams to conduct research, experiment with models, and implement AI-driven products.

Discover OktaAt Okta, we are redefining how identity is managed across technologies, empowering individuals to securely access any app or device with ease. Our versatile platforms, the Okta and Auth0 Platforms, ensure that identity remains the cornerstone of security and scalability for businesses worldwide.We embrace diverse perspectives and experiences, seeking not just qualifications but a passion for learning and innovation that can enhance our company culture.Join us in crafting a future where identity truly belongs to the user.Our Business Technology team is dedicated to developing secure, intelligent platforms that support our global workforce. The AI & Automation team is at the forefront, integrating next-generation AI tools and automation to optimize workflows in IT, HR, Finance, Sales, Marketing, and Customer Support.We focus on impactful applications: AI-driven virtual agents, intelligent copilots, internal services, and AI-enhanced self-service portals, all designed with scalability, governance, and user experience in mind.The OpportunityAs a Senior Software Engineer, Applied AI, you will be instrumental in designing and implementing user-centric and backend systems that harness Generative AI to elevate internal processes and experiences. This position requires robust full-stack engineering capabilities, with a strong emphasis on AI integration and the creation of intuitive, high-performance user interfaces that render AI tools accessible and beneficial for our internal stakeholders.Collaborating closely with fellow engineers, product managers, and designers, you will help develop secure, intelligent solutions for our workforce at Okta.

ABOUT USAt Applied Compute, we are pioneers in developing Specific Intelligence for enterprises, creating agents that learn continuously from a company’s processes, data, expertise, and objectives. Our mission is to establish a continual learning platform that captures context, memory, and decision traces throughout the organization, enabling specialized agents to perform meaningful tasks.Why Join Us: Our team operates at a unique intersection of innovation. Our product team is responsible for crafting a platform that serves as the backbone for a new generation of digital coworkers. Meanwhile, our research team explores the cutting edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with clients to deploy agents effectively in real-world scenarios. This synergy of robust product development, extensive research, and direct client engagement is essential for us to revolutionize AI in the enterprise landscape.Our Team: Comprising engineers, researchers, and operations experts, our team includes many former founders with extensive experience. We have developed RL infrastructure at OpenAI, data foundations at Scale AI, and other systems at companies like Two Sigma and Watershed. We proudly serve Fortune 50 clients and are supported by top-tier investors including Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals passionate about utilizing cutting-edge research and complex systems to address real-world challenges. Comfort navigating diverse environments, whether it’s a new codebase, unfamiliar customer data architecture, or unexplored problem domains, is essential. Our team values genuine client engagement — listening, empathizing, and understanding the realities of work in their organizations. Those with entrepreneurial spirits, rich project experiences, or proven capabilities to manage tasks end-to-end will excel in our environment.THE POSITIONAs a Software Engineer, you will be instrumental in building the products and interfaces utilized by customers and internal teams. You will manage the entire application platform stack, from collaborative human-AI workspace systems to backend workflows orchestrating sandboxed agent sessions, and the continual learning SDK that provides engineers with oversight of the agent development lifecycle.

RoleAs a Software Engineer specializing in Applied AI at OpenEvidence, you will be instrumental in developing comprehensive systems that harness cutting-edge AI models to create impactful, user-centric products.We seek exceptional builders who thrive outside conventional boundaries. Our engineers engage across various projects and products, taking ownership to maximize their impact.About UsOpenEvidence stands as the leading medical AI platform globally.In just over a year, over 40% of US clinicians have adopted our solution, driven by product-led growth and word-of-mouth recommendations. We are a $12 billion company with a talented 30-person engineering team hailing from prestigious institutions like MIT, Harvard, and Stanford. We believe that transformative products emerge from a small cadre of exceptional, autonomous builders who are empowered to take ownership and drive swift progress. We are expanding our team to capture an extraordinary opportunity to establish a benchmark platform for medical AI.If you are a top-tier engineer or scientist eager to innovate at the forefront of technology and deliver meaningful results that affect millions of lives, we want to connect with you.CultureWe believe that work should reflect a world-class commitment. Innovating from 0 to 1 and scaling from 1 to 1000 is akin to a professional sport, and we set the bar at uncompromising excellence. We understand that groundbreaking technologies are only possible through complete ownership. Significant achievements arise when individuals take decisive action.Who are you?If you are seeking a typical 9-5 job or merely wish to write papers, this position is not for you. If you are ready to dive in, get hands-on, face challenges head-on, and create something impactful that can reach millions and generate significant revenue, this role might be your perfect fit.The ideal candidate is a brilliant builder—intelligent, driven, resourceful, independent, meticulous, motivated, hardworking, and humble. Does that sound rare? It is indeed rare; we currently have only 30 such individuals, and we are eager to find more.LocationAll full-time engineering roles require in-person attendance five days a week in San Francisco or Miami.

Canvas Medical is at the forefront of transforming healthcare with our cutting-edge electronic medical records (EMR) and payments platform. Our mission is to create a seamless environment where developers and clinicians can collaborate effectively to tackle the most pressing challenges in healthcare. Backed by some of the world's leading technology investors, including those who have funded notable health tech innovators like GoodRx, Oscar Health, and Hims & Hers Health, we are on a journey to revolutionize the way healthcare is delivered.The RoleWe are seeking a talented Applied AI Software Engineer to spearhead the evaluation of our developing agents and the post-deployment fleet of agents in Canvas, aimed at automating tasks for our clients. You will leverage state-of-the-art foundation model inference and fine-tuning APIs, along with our server-side SDK which is equipped with a wealth of tools and contextual information essential for optimal agent performance. Your responsibilities will include designing and executing comprehensive evaluation experiments that assess performance, safety, and reliability across various clinical, operational, and financial scenarios.This position is perfect for individuals with substantial experience in evaluating LLM-based agents on a large scale. You will be tasked with creating precise unit evaluations and end-to-end assessments, establishing expert-determined ground truth outcomes, and managing iterations across model variants, prompts, tool utilization, and context window configurations. Your insights will play a critical role in guiding model selection, fine-tuning, and go/no-go decisions for AI features utilized in production environments.Collaboration is key; you will work closely with product managers, machine learning engineers, and clinical informatics teams to ensure our AI agents are not only effective but also reliable and robust under real-world healthcare constraints. Additionally, you will partner with technical product marketers and developer advocates to communicate the unique value propositions of Canvas's AI agents to our broader developer community and the market.

About ShepherdAt Shepherd, we are a pioneering Managing General Underwriter (MGU) committed to revolutionizing commercial Property & Casualty insurance specifically for high-hazard industries. Our goal is to create a seamless risk management experience for the visionaries and builders who are shaping the physical landscape. We ensure protection from the initial concept stage through construction and into the long-term operational phase.We are developing the fastest and most intelligent commercial risk platform, where automation, data, and underwriting expertise converge to deliver:Accelerated decision-makingEnhanced and precise pricing strategiesImproved risk management outcomesWith Shepherd, safety, efficiency, and quality enhance one another. We are not simply modernizing insurance; we are constructing the risk infrastructure for the next generation of financial services, where technology, underwriting, and strategic partnerships work in unison to support critical industries and the progress they enable.Our InvestorsShepherd has successfully raised over $20M from prestigious investors such as:Spark CapitalCostanoa VenturesY CombinatorSusa VenturesIntact VenturesAnd many othersJoin Our TeamWe are a passionate group of technologists and insurance experts who bridge the gap between innovation and tradition. Discover more about our values and team on our About page.Position SummaryWe are seeking a talented Software Engineer specializing in Applied AI to develop intelligent systems that will enhance our underwriting and pricing mechanisms. This role is positioned at the convergence of product engineering, AI infrastructure, and the practical applications of insurance workflows.You will be responsible for designing and deploying production-level AI systems that significantly impact our operational processes.

Role overview mercor is looking for a Software Engineer, Applied AI to join the team in San Francisco. This role centers on building software products that use artificial intelligence and machine learning to solve practical challenges. The team collaborates to design, develop, and improve solutions that make a real impact. What you will do Create software that uses AI techniques for real-world applications Collaborate with engineers and specialists to design and launch new features Support ongoing projects that push forward the capabilities of artificial intelligence Location This position is based in San Francisco.

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.

Role Overview Arcade is looking for a Senior Applied AI Engineer in the San Francisco Bay Area. This position focuses on building solutions that use artificial intelligence to improve user experiences across Arcade’s products. What You Will Do Work with cross-functional teams to design and develop AI-driven features. Apply expertise in AI algorithms and software development to solve challenging problems. Contribute to the direction and impact of Arcade’s AI initiatives. Who We’re Looking For Extensive experience with artificial intelligence technologies. Strong background in software development and AI algorithms. Comfort working collaboratively with teams from different disciplines.

Artificial Intelligence (AI) is increasingly essential across various sectors of society. At Scale AI, we are dedicated to accelerating the evolution of AI applications. For over eight years, we have been a premier AI data foundry, driving groundbreaking advancements in areas such as generative AI, defense technologies, and autonomous vehicles. Following our recent Series F funding round, we are enhancing the deployment of frontier data and models by developing sophisticated agents for enterprises globally through our Scale Generative Platform (SGP). Our SGP ML team stands at the forefront of the AI revolution. We collaborate directly with clients to create innovative products utilizing our extensive proprietary research and resources. As a Staff Applied AI Engineer, you will engage with clients to develop machine learning solutions that address their specific business challenges. Your projects will encompass a range of applications, from constructing next-generation AI cybersecurity firewalls to transforming journalism through AI experiences, as well as employing foundational genomic models to predict vital drug proteins. Through daily data-driven experiments, you will uncover critical insights regarding model performance, which you will leverage to enhance our products. If you are passionate about influencing the future of AI, we invite you to apply!

About Scale AIAt Scale AI, we are dedicated to revolutionizing the development of artificial intelligence applications. For eight years, we have established ourselves as the foremost AI data foundry, driving groundbreaking advancements in areas such as generative AI, defense applications, and autonomous vehicles. With our recent Series F funding round, we are poised to enhance the availability of frontier data, paving the way towards Artificial General Intelligence (AGI). Our commitment extends to refining our model evaluation expertise for enterprise clients and government entities, thereby enriching our capabilities for both public and private assessments.About the Generative AI Data EngineOur Generative AI Data Engine empowers the most sophisticated LLMs and generative models through premier Reinforcement Learning with Human Feedback (RLHF), human data generation, model evaluation, safety, and alignment. The data we generate is pivotal for shaping humanity's interaction with artificial intelligence.Our ApproachDuring the interview process, candidates may be considered for various roles across different teams within the GenAI Engineering organization based on their skills, interests, and business needs. Potential placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. These teams are instrumental in scaling Scale AI’s operations - from curating impactful datasets that enhance LLM capabilities to optimizing contributor onboarding and ensuring data integrity through advanced safety and security protocols. They operate at the crossroads of machine learning, operations, and analytics to guarantee that we deliver top-tier data at scale.Key Responsibilities:Design, develop, and maintain robust, scalable systems across the entire stack, including front-end, back-end, and infrastructure.Implement high-impact features using contemporary technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal.Work collaboratively with internal operators to identify bottlenecks and deliver rapid, effective solutions.Take ownership of core systems crucial to our contributor platform, directly influencing Scale’s GenAI data pipeline and overall business outcomes.Architect and scale infrastructure to manage millions of tasks weekly with high reliability and low latency.Collaborate cross-functionally with ML teams, Forward Deployed Engineers, and Product to maintain data quality and operational excellence.Contribute to fostering a robust engineering culture while setting best practices for peers through mentorship, code reviews, and process improvement.

Join Scale AI as a passionate and technically adept AI Research Engineer within our Enterprise Evaluations team. This pivotal role is integral to our goal of providing the industry's leading Generative AI Evaluation Suite. You will actively contribute to the foundational systems that guarantee the safety, dependability, and ongoing enhancement of LLM-driven workflows and agents for enterprise clients. The perfect candidate will possess a robust understanding of large language models, a fervor for addressing intricate evaluation dilemmas, and the ability to excel in a fast-evolving research atmosphere. We seek an engineer who can innovate, remains informed about the latest studies in AI evaluation, and is enthusiastic about incorporating cutting-edge research concepts into our workflows to create top-tier evaluation systems.

About Sprinter HealthAt Sprinter Health, we are dedicated to transforming healthcare access by providing services directly in patients' homes. With nearly 30% of U.S. patients forgoing essential preventive and chronic care due to transportation barriers, we aim to prevent emergency room visits, which cost the healthcare system over $300 billion each year.Leveraging cutting-edge technology akin to that of leading marketplace and last-mile delivery platforms, we ensure care reaches those who need it the most. Our impact is significant, having served over 2 million patients across 22 states, conducting more than 130,000 in-home visits, and achieving a remarkable 92 NPS. Our dynamic team of healthcare professionals and tech innovators has successfully raised over $125 million from top investors such as Andreessen Horowitz, General Catalyst, GV, and Accel, securing a strong multi-year runway for growth.About the RoleWe are assembling an innovative Automated Intelligence team tasked with integrating AI into every facet of our care model—from generating clinical summaries and predicting patient risks to developing workflow agents and enhancing patient interactions. This role is ideal for an engineer eager to rapidly deploy production-level AI systems, navigate complex healthcare and logistics data, and create tools that significantly improve patient outcomes.Office LocationOur company operates in a hybrid model with offices located in San Francisco and Menlo Park, allowing for a balance between in-office collaboration and flexible work arrangements.What You Will Do:Develop and implement AI-driven features that enhance patient care, streamline coordination, and optimize clinical workflows.Create production systems utilizing LLMs, RAG, embeddings, and multi-agent architectures.Launch products including clinical visit summaries, patient risk models, and voice-enabled coordination assistants.Design workflow agents to automate scheduling, follow-ups, and operational tasks.Collaborate closely with product, clinical operations, and data partners to deliver measurable improvements.Contribute to defining the technical vision, tools, and standards for a new team.

Wonderschool develops technology to support childcare providers in home-based, government, and nonprofit settings. The platform helps providers run programs that meet business needs, while parents use a marketplace to find childcare options. Role overview This Early Career Software Engineer position focuses on applied AI. The role is based in San Francisco, with on-site work required Tuesday through Thursday to foster collaboration. The engineer will work on projects that shape how childcare providers and parents use the Wonderschool platform. Curiosity about technology and a practical approach to building scalable AI solutions are valued here. What you will do Design, build, and maintain software features that use AI. Collaborate with product managers, designers, and engineers to define requirements and deliver new features. Develop modular, task-oriented AI agents using frameworks such as LangChain or Rasa, focusing on natural language understanding, dialogue management, and action execution. Troubleshoot and resolve technical issues to keep the platform dependable. Stay informed about trends and best practices in software engineering and AI. This position is on-site in San Francisco three days a week: Tuesday, Wednesday, and Thursday.

ABOUT BASETENAt Baseten, we empower the leading AI companies of today, including Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer, by providing essential inference capabilities. Our unique blend of applied AI research, adaptable infrastructure, and intuitive developer tools enables innovators at the cutting edge of AI to seamlessly transition advanced models into production. With our recent success in securing a $300M Series E funding round, backed by notable investors such as BOND, IVP, Spark Capital, Greylock, and Conviction, we're on an exciting growth trajectory. Join our team and contribute to the platform that engineers rely on to launch AI-driven products.THE ROLEAs an Applied AI Inference Engineer at Baseten, you'll collaborate closely with clients to design, develop, and implement high-performance AI applications using our platform. You will guide customers through the entire process, from initial concept to deployment, transforming vague business objectives into dependable, observable solutions that meet defined quality, latency, and cost metrics.This position is ideal for innovative engineers eager to gain insight into how modern organizations scale AI adoption. You will thrive if you enjoy a multifaceted role that intersects product development, software engineering, performance optimization, and direct customer engagement.It’s essential to note that this position requires hands-on coding and software development, while also encompassing elements of product management, technical customer success, and pre-sales engineering.EXAMPLE INITIATIVESExplore insights from our Forward Deployed Engineering team through these blog posts: Forward Deployed Engineering on the frontier of AIThe fastest, most accurate Whisper transcriptionDeploy production-ready model servers from Docker imagesDeploy custom ComfyUI workflows as APIs...

Introducing OktaAt Okta, we are redefining identity management. As the world’s leading Identity Company, we empower individuals and organizations to engage securely with any technology, anywhere, and on any device. Our innovative platforms, Okta and Auth0, are designed to ensure secure access, authentication, and automation, placing identity firmly at the heart of business security and growth.We thrive on diverse perspectives and experiences. We seek dynamic individuals who are passionate about continuous learning and who can contribute uniquely to our mission.Be a part of our journey! Together, we are creating a world where identity is truly yours.The OpportunityAs a Principal Applied AI Marketing Engineer, you will play a pivotal role within the newly formed Marketing AI Spoke team. Acting as the lead product owner and technical architect, you will oversee a specialized portfolio of AI agents, workflows, and low-code/no-code applications. This position demands a unique blend of marketing expertise, technical skills, and analytical thinking to convert complex business challenges into effective, implemented AI-driven solutions.Your responsibilities will encompass the entire engineering lifecycle—defining, developing, testing, and deploying impactful initiatives that enhance our marketing productivity, operational efficiency, and customer engagement.

About UsAt Applied Compute, we are pioneering the development of Specific Intelligence for enterprises, creating agents that continuously learn from a company’s processes, data, expertise, and objectives. Our mission is to bridge the gap between isolated AI capabilities and their effective application within real business environments. Traditional AI systems often fall short as they lack the ability to adapt based on feedback. Our innovative continual learning layer captures context, memory, and decision-making processes across the enterprise, enabling specialized agents to engage in meaningful work.What Excites Us: We operate at the exciting intersection of product development and cutting-edge research. Our product team designs the platform that empowers a new generation of digital coworkers, while our research team drives advancements in post-training and reinforcement learning to enhance user experiences. As an applied research engineer, you will work directly with clients to implement models in production, combining robust product development with deep research insights to facilitate AI integration in enterprises.Meet Our Team: Our diverse team consists of engineers, researchers, and operators, many of whom are former founders. We have previously built reinforcement learning infrastructure at OpenAI, established data foundations at Scale AI, and contributed to significant systems at companies like Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are proud to be backed by reputable investors such as Benchmark, Sequoia, and Lux.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel comfortable navigating new environments rapidly—be it a fresh codebase, a client’s data architecture, or an unfamiliar problem domain. A genuine enjoyment for customer interaction, empathy, and a deep understanding of their operational workflows are essential. Candidates with entrepreneurial backgrounds, extensive side projects, or a proven track record of end-to-end ownership typically excel in our environment.

Welcome to Demandbase:At Demandbase, we are pioneering the only pipeline AI platform designed to empower go-to-market (GTM) teams in automating growth at scale. Our platform offers a holistic view of data, insights, actions, and outcomes, allowing B2B enterprises to effectively align and implement their account-based GTM strategies with confidence. Trusted by thousands of businesses, we help maximize revenue, reduce waste, and streamline data and technology stacks—all within a single platform.Our commitment extends beyond technology; we invest deeply in our teams, culture, and the communities we serve. Recognized continually as one of the Best Places to Work in the San Francisco Bay Area by Fortune and as one of the 60 Best Companies to Sell For by Selling Power, our offices are strategically located in San Francisco, New York, Austin, Seattle, India, and the United Kingdom.Role OverviewAs a Principal AI Software Engineer, you will spearhead the design and implementation of AI-native platforms that will transform how Demandbase develops and scales intelligent systems. Acting as a technical beacon, you will lead the evolution from traditional SaaS architectures to autonomous, agent-driven systems powered by generative AI.This is a senior-level individual contributor position with significant influence across the enterprise. You will establish architectural directions, collaborate closely with Product and Engineering leadership, and ensure our infrastructure and platforms are equipped to support large language models (LLMs), agentic workflows, and real-time AI-driven capabilities at scale.The base compensation for this position is applicable to candidates based in San Francisco, CA. For candidates located elsewhere, the base compensation will align with the primary work location, as our compensation ranges are location-specific. Actual compensation packages will reflect a variety of factors unique to each candidate, including skill set, years of experience, and depth of expertise.