AI Software Engineer Jobs

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About Norm AiNorm Ai is the Compliance AI Platform for legal standards-based reasoning & workflow automation. We developed the first Domain Specific Language (DSL) for fully representing regulatory requirements in AI code. This DSL, deployed with our enterprise platform, enables Norm clients to transform workflows and apply compliance checks at the source of business activities.By building and deploying Government-Grade Regulatory AI, we are setting the norms for compliance processes at the largest institutions in the world, and laying the groundwork for the deployment of AI agents more broadly in highly regulated workflows. Our client base includes firms with a combined $17 Trillion in AUM, and growing quickly. Our Software Engineers came from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT. Our Legal Engineers are from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA.We have raised capital over the past 18 months from Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, Larry Summers, and Marc Benioff.This RoleAs an Applied AI Research Engineer at Norm Ai, you will take a methodical and holistic approach to increasing the coverage and capabilities of our automation platform. You will collaborate closely with and act as a bridge between our software engineering, legal engineering, and product teams to design and refine our AI-driven compliance solutions.You Will:Design and build AI-powered, enterprise-grade software to meet rapidly increasing demands.Regularly contribute performant and high-quality code to our production codebase that conforms to the high standards of our software engineering team. Autonomously prioritize between development velocity and long-term robustness of proposed solutions, always with a ruthless propensity for action.Run experiments with new LLM techniques and technologies across our AI infrastructure, content processing, and regulatory workflows.Write prompts, iterate on them, and design systems for continuous improvement.Develop regulatory expertise that can be used as part of our LLM workflows.Skills & Experience - Core4+ years of experience as a Software Engineer, ML engineer, or Data Scientist.Strong programming skills in Python, proficiency in Docker and data storage technologies such as Postgres and Redis.Willingness to work with frontend technologies (Typescript, react, etc) when required.Experience in AI/ML infrastructure and tooling.Interest in becoming a regulatory domain expert and working closely with legal and regulatory professionals.Strong reading and writing skills.Strong quantitative skills that can enable a data-driven approach to problem solving.Skills & Experience - PlusesExperience deriving insights from PDFs and/or other unstructured or semi-structured data typesFamiliarity with the latest research in LLMs and an eagerness to adopt new model capabilities as they become availableBackground working on complex compliance or regulatory systems.What Success Looks Like - 30 DaysNorm Ai Integration: Rapidly familiarize yourself with Norm Ai's existing codebase, architecture, and the unique challenges of our AI-driven compliance solutions. Within the first two weeks, we expect meaningful contributions to our production codebases.AI Engineering: Rapidly familiarize yourself with the data flows in Norm Ai’s compliance systems and enhance the accuracy or robustness of one of our core modules.Domain Expertise: Develop familiarity with the underlying regulations with which Norm works.What Success Looks Like - 60 DaysNorm Ai Integration: Successfully optimize, implement, and deploy significant features that improve the accuracy and coverage of our automation platform.AI Engineering: Effectively lead large-scale improvements to our AI system, including runtime optimizations and accuracy improvements.Domain Expertise: Leverage regulatory expertise to effectively collaborate with the legal engineers and improve new and existing LLM workflows$200,000 - $250,000 a yearThe range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with the maximum legally permitted employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant.We embrace a flexible hybrid model, typically in-office 3–4 days per week. If you’re interested in the role but aren’t sure whether you’re a good fit, we’d still like to hear from you.

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About Anyscale: At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role:Anyscale is growing its Sales Team! We're looking for an Enterprise Account Executive to build out our enterprise-level client relationships. This is a Hunter role, so you will be prospecting, developing, and closing new business while focusing on the clients’ requirements. The Enterprise AE’s must have the confidence and ability to negotiate and close agreements with clients and support new customers. This role is a unique opportunity to contribute in a meaningful way to high visibility, high impact projects at a very exciting time for the company. Anyscale is an innovative, high-growth, customer-focused company in a large and growing market. If you are an energetic, self-managed professional with experience managing a complex sales process and possess excellent presentation and listening skills, organization and contact management capabilities, we’d love to hear from you. As part of this role, you will:Achieve sales quotas for named accounts on a quarterly and annual basis by developing a sales strategy in the allocated territory with a target prospect list, and a regional sales planDevelop marketing plans with the marketing team to drive revenue growthBe the trusted advisor to the customer by understanding their existing and future roadmap to drive the Anyscale solution within the marketplaceProspect qualification and the development of new sales opportunities and ongoing revenue streamsArrange and conduct initial Executive and CxO discussions and positioning meetingsSales process management and opportunity closureOngoing account management to ensure customer satisfaction and drive additional revenue streams.Be familiar with solution-based approach to selling, have experience managing a complex sales process and possess excellent presentation and listening skills, organization and contact management capabilitiesSome understanding of the data, compute, ML space and an ability to carry a technical conversation on these topicsWe'd love to hear from you if you have:5+ years of full cycle sales experience selling software or cloud based applicationsEmphasis on ML, cloud, and SaaS is desiredA track record of success in driving consistent activity, pipeline development and quota achievementExperience determining customer requirements and presenting appropriate solutionsProactive, independent thinker with high energy/positive attitudeExcellent verbal and written communication, presentation, and relationship management skillsAbility to thrive in fast-paced startup environment Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

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About the TeamOpenAI’s mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. A key part of achieving that mission is training models that deeply understand and reflect human preferences — the Human Data team is at the heart of that effort.The Human Data engineering team creates the systems that enable scalable, high-quality human feedback. These systems are essential to how OpenAI trains and improves its most advanced models. Engineers on this team collaborate closely with world-class researchers to bring alignment techniques to life — from experimental ideas to production-ready feedback loops. About the RoleWe’re looking for software engineers to join the Human Data team and build the platforms, prototypes, tools, and infrastructure that power how our AI models are trained, aligned, and evaluated. You’ll partner with researchers and cross-functional teams to bring alignment ideas to life, influence future model training, and shape how models interact with the real world.We’re looking for people who are excited by technical ownership, enjoy working across the stack, and are eager to solve ambiguous problems in a high-impact, fast-paced environment.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Build and maintain robust full-stack systems for feedback collection, data labeling, and evaluation pipelines, while maintaining high levels of security.Translate experimental alignment research into scalable production infrastructure, including inference and model training stacks.Design and iterate on user-facing tools and backend services to support high-quality data workflowsPartner with researchers, engineers, and program leads to shape feedback loops and model interaction paradigmsDrive infrastructure improvements that enable faster iteration and scaling across OpenAI’s frontier models, from internal research tooling all the way to production ChatGPT. You might thrive in this role if you:Have strong software engineering fundamentals and experience building production systems at scaleEnjoy full-stack development with end-to-end ownership — from backend pipelines to user interfacesAre motivated by high-impact collaboration with research teams and solving novel, ambiguous problemsAre excited to shape how AI systems learn from human preferences and reflect a broad range of human valuesCare deeply about inclusive tooling and building systems that enhance model safety, reliability, and usefulnessAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll doWrite the playbook for onboarding and educating external agent engineers to Sierra’s Agent SDK.Develop and deploy AI Agents as an Agent Software Engineer, building the knowledge to become a world-leading expert on agent development.Lead the creation and execution of external developer training and enablement programs.Build infrastructure and content that scales — including technical documentation, onboarding paths, and hands-on repositories for SDK adoption.Work with our marketing teams to publish developer case studies and success stories to inspire and connect our growing technical community.What you'll bringPassion for helping customers across small and large enterprises learn to build exceptional AI Agents.Degree in Computer Science or related field, or equivalent professional experience.4+ years experience in hands-on software development of highly technical products or developer relations roles.Excellent written and verbal communication skills and a desire to apply them in hands-on training sessions.Desire, excitement, and enthusiasm for building an in-person, global community around developing AI Agents.Strong technical skills and familiarity with modern software development — especially developer tooling, SDKs, and APIs.Demonstrated experience in designing and executing technical training, certification, or community initiatives.Even better...Previous experience developing agents using open source tools like LangGraph or interacting with MCP servers.Familiarity with agent platforms, developer communities, or early-stage developer product ecosystems.Experience collaborating across product, engineering, and go-to-market teams to launch strategic initiatives.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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