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Experience Level
Entry Level
Qualifications
The ideal candidate will possess a strong background in software engineering, including proficiency in programming languages such as Python, Java, or Go. Experience in API development, cloud technologies, and enterprise software solutions is highly desirable. A Bachelor's degree in Computer Science or a related field is preferred.
About the job
Join Cloudflare as a Software Engineer specializing in Enterprise Integrations, where you will contribute to building and enhancing our suite of solutions that seamlessly integrate with enterprise systems. You will work collaboratively with cross-functional teams to design, develop, and implement scalable integration solutions that meet the complex demands of our enterprise clients.
About Cloudflare, Inc.
Cloudflare is a global leader in web performance and security, helping to build a better Internet. We provide a suite of tools that protect and accelerate any application online without adding hardware, installation, or complex set up. Join us to be part of a team that is dedicated to improving the security and performance of our clients' digital presence.
Full-time|$170K/yr - $200K/yr|On-site|San Francisco, CA - US
At Crusoe, our vision is to enhance the availability of energy and intelligence. We are at the forefront of developing solutions that empower individuals to innovate boldly with AI, all while ensuring that we uphold principles of scalability, speed, and sustainability.Join us in driving the AI revolution through sustainable technology at Crusoe. You will play a pivotal role in fostering innovation, making a significant impact, and collaborating with a team that is leading the way in responsible and transformative cloud infrastructure.About the RoleWe are on the lookout for a Senior Software Engineer to take on the role of founding engineer within our new Enterprise Software Engineering team in IT. You will work closely with the Director to develop internal tools, automation processes, and integrations that remove manual tasks and address critical operational challenges across the organization.This role transcends traditional enterprise IT positions. You will leverage AI-assisted development as your primary method, delivering production-quality software within days instead of months, while laying the groundwork for future team members. As you grow in this role, your primary contributions will focus on defining specifications, context, and reusable patterns to guide AI agents, while still engaging in hands-on coding for the most complex challenges.Your ResponsibilitiesDesigning and deploying internal tools, automation, and integrations that provide measurable benefits across Finance, Operations, HR, and other business functions.Utilizing AI-assisted development as your standard workflow, which includes drafting specifications, creating prompts, reviewing AI-generated code, and iterating quickly.Establishing foundational technical patterns such as coding standards, project conventions, reusable components, and context files that facilitate AI-driven development.Creating and managing integrations between enterprise systems through APIs, middleware, and data pipelines.Developing solutions across a versatile environment that combines cloud application platforms with internal GPU compute for AI workloads.Collaborating with business teams during rapid prototyping sessions, then refining prototypes into production-ready systems complete with testing, monitoring, and documentation.Setting up CI/CD pipelines, automated testing, and quality assurance measures for all solutions delivered.Taking ownership of solutions from end to end, covering everything from specification and implementation to deployment and production support.
Full-time|$248.4K/yr - $310.5K/yr|On-site|New York, NY; San Francisco, CA
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.
Full-time|$216.2K/yr - $270.3K/yr|On-site|New York, NY; San Francisco, CA
Join Scale GP (Scale Generative AI Platform), a cutting-edge enterprise-level Generative AI platform, where we provide robust APIs for knowledge retrieval, inference, evaluation, and much more. We are seeking a talented Software Engineer to become a pivotal part of our dynamic team, contributing to the development and expansion of our innovative product in a fast-paced setting. The ideal candidate will possess a deep understanding of software engineering principles and practices, along with hands-on experience in large-scale distributed systems. As a Software Engineer, you will take charge of major components of our product, engaging with both backend and frontend technologies, and collaborating with LLMs and machine learning models. You will tackle complex engineering challenges related to scalability and reliability, ensuring we meet the demands of our growing customer base.
About UsAt Sierra, we are on a mission to revolutionize customer experiences through our innovative AI-driven platform. Based in the vibrant city of San Francisco, we also have expanding offices in Atlanta, New York, London, France, Singapore, and Japan, fostering a diverse and dynamic team.Our culture is built on core values: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These principles guide our actions and decisions, ensuring that we maintain a collaborative and supportive work environment.Sierra was co-founded by Bret Taylor, former co-CEO of Salesforce and CTO of Facebook, and Clay Bavor, who led major innovations at Google. Their vision drives our commitment to creating impactful solutions.Your RoleDesign and develop Sierra’s enterprise platform capabilities.You will create the foundational systems that empower us to serve the world's largest enterprises, incorporating identity, access management, integration points, and extensibility essential for embedding Sierra within existing business ecosystems.Ensure scalability for our largest customers.Our enterprise clients operate in complex environments with stringent security demands and high reliability expectations. Your efforts will ensure Sierra’s platform scales effectively across various organizations, regions, and use cases while maintaining optimal performance and user-friendliness.Establish a foundation of trust.Our enterprise clients entrust Sierra with their critical workflows and data. You will help set and maintain exceptional standards for security, compliance readiness, reliability, and operational excellence throughout the platform.What You BringA strong passion for working at the cutting edge of AI technologies.Expertise and pride in developing reliable, maintainable, and secure systems that scale effectively.A proactive attitude and high agency to drive impactful outcomes in a high-autonomy culture where every team member is empowered.
Join Hilberts as an AI Engineer - Enterprise, where you will be at the forefront of developing cutting-edge artificial intelligence solutions tailored for enterprise applications. Your role will involve collaborating with cross-functional teams to drive innovation and enhance our product offerings. You will work with advanced machine learning algorithms and contribute to the evolution of our AI technologies, ensuring they meet the complex needs of our clients.
Full-time|$216.2K/yr - $270.3K/yr|On-site|San Francisco, CA; New York, NY
Join Scale AI's innovative team as an Infrastructure Software Engineer for our Enterprise Generative AI Platform (SGP). In this dynamic role, you will help design and enhance our enterprise-grade AI platform, which offers robust APIs for knowledge retrieval, inference, evaluation, and more. We're seeking an exceptional engineer who thrives in fast-paced environments and is eager to contribute to the scaling of our core infrastructure. The ideal candidate will possess a solid foundation in software engineering principles and extensive experience with large-scale distributed systems. Your role will involve implementing solutions across various cloud providers (GCP, Azure, AWS) for clients in highly regulated sectors, including healthcare, telecommunications, finance, and retail.
Full-time|$300K/yr - $300K/yr|On-site|San Francisco
ABOUT BASETENAt Baseten, we empower leading AI companies such as Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer with our state-of-the-art inference solutions. Our unique blend of applied AI research, versatile infrastructure, and intuitive developer tools allows organizations at the forefront of AI innovation to deploy cutting-edge models effectively. Recently, we have experienced significant growth, securing a $300M Series E funding round, backed by renowned investors like BOND, IVP, Spark Capital, Greylock, and Conviction. Become a part of our journey to create the ultimate platform for engineers to launch AI products seamlessly.THE ROLEAs a Senior Software Engineer focused on our Enterprise Platform, you will play a pivotal role in designing and developing robust infrastructure and platform features tailored for our enterprise clientele and cloud partners. Your contributions will encompass enabling self-hosted and single-tenant environments, implementing region-aware request routing, and ensuring enterprise-grade data security and integration capabilities.EXAMPLE INITIATIVESJoin our Infrastructure team and tackle exciting projects such as:Multi-cloud capacity managementOptimizing inference on B200 GPUsImplementing multi-node inference solutionsLeveraging fractional H100 GPUs for efficient model servingRESPONSIBILITIESDesign and implement infrastructure and platform features customized for enterprise clients, covering self-hosted clusters, single-tenant environments, and cross-cloud orchestration.Lead strategic initiatives to enhance secure and scalable private connectivity solutions.Craft and execute solutions that address complex regulatory and compliance requirements for enterprise environments.
About Retell AIAt Retell AI, we are pioneering the future of call centers through innovative voice AI technology. Our cutting-edge solutions are transforming how companies engage with customers.In just 18 months since our inception, we've empowered thousands of businesses with our AI voice agents that efficiently manage sales, support, and logistics calls, significantly reducing the need for large teams of human agents. Supported by industry-leading investors including Y Combinator and Alt Capital, we've grown our annual recurring revenue from $5M to an impressive $36M while expanding our team from 5 to 20 talented individuals since 2025.Our ambitious vision for 2026 is to develop a state-of-the-art customer experience platform where entire contact centers are driven by AI. Unlike basic automation requiring constant human oversight, we’re engineering intelligent AI “workers” capable of serving as frontline agents, quality assurance analysts, and managerial roles, all while optimizing customer interactions continuously.We are rapidly expanding and seeking driven builders who thrive on solving complex technical challenges, act decisively, and wish to make a tangible impact in one of the fastest-growing voice AI startups.Join us in shaping the future!Recognized as a top 50 AI application in the a16z list: https://tinyurl.com/5853dt2xRanked #4 in Brex's Fast-Growing Software Vendors of 2025: https://www.brex.com/journal/brex-benchmark-december-2025Featured among the top startups on: https://leanaileaderboard.com/
Full-time|$248.4K/yr - $310.5K/yr|On-site|San Francisco, CA; New York, NY
Join Scale's innovative team and contribute to the development of the Scale Generative AI Platform (Scale GP), an enterprise-level Generative AI platform offering robust APIs for knowledge retrieval, inference, evaluation, and beyond. We are on the lookout for a talented Staff Software Engineer who is eager to tackle challenging engineering problems and help scale our product in a dynamic environment. The ideal candidate will possess a solid grasp of software engineering principles, coupled with experience in large-scale distributed systems. You will take ownership of significant new components within our product, working across both backend and frontend systems while engaging with LLMs and machine learning models. Your role will involve solving complex issues related to scalability and reliability.
Join Context AI as a Software Engineer - MTSAbout UsAt Context AI, we are dedicated to revolutionizing productivity for knowledge workers. Our mission is to create enterprise AI systems that not only answer questions and automate tasks but also handle complex, high-stakes work that truly drives business success. We have identified that the primary barrier to realizing the potential of AI in enterprises is not the intelligence of the models, but rather the understanding of institutional knowledge - the intricate ways organizations function, where information is stored, the quality standards in play, and the processes that drive work completion.Our innovative platform learns the unique context of each organization, capturing vital elements such as tribal knowledge, business rules, internal lexicons, and tacit expertise that contribute to delivering production-quality work. Context AI enables seamless connections to vast datasets, empowering AI agents to perform essential tasks, from engineers analyzing firmware logs for root cause identification, to bankers conducting due diligence in extensive data rooms, to analysts refreshing reports with real-time market data and consulting teams crafting client deliverables.We have successfully demonstrated our capabilities with Fortune 100 clients, achieving significant productivity gains between 30-40%, drastically reducing cycle times by over 90%, and deploying solutions in mere days rather than months. Operating around the clock, our global team at Context AI liberates knowledge workers to concentrate on strategic opportunities and explore new avenues for growth.Why Choose Context AI?Transformative Impact: As part of our team, you will contribute to the boundless potential of enterprise AI, reshaping the work landscape for numerous professionals including engineers, bankers, analysts, consultants, product managers, and lawyers.Engaging Technical Challenges: You will have the opportunity to design systems that have never been built before, tackling problems that have yet to be solved.Empowered Ownership: We value autonomy and trust our engineers to influence product direction and take full ownership of the systems they develop.Exceptional Team: Join an elite group of professionals from top-tier companies like Apple AI, Microsoft Research, Google, and others, and learn from the best in the industry.Your RoleAs a Software Engineer - MTS at Context AI, you will develop the foundational platform that empowers AI agents to execute complex and high-stakes tasks for Fortune 100 enterprises. You will be at the cutting edge of technology, shaping the future of work.
Full-time|$216K/yr - $270K/yr|On-site|San Francisco, CA; New York, NY
About Scale AI Scale AI serves as the foundational data platform for artificial intelligence, empowering organizations to develop and implement robust production AI applications. We collaborate with prominent enterprises and government entities to expedite their AI projects through our advanced data annotation platform, generative AI solutions, and enterprise-grade AI capabilities. Role Overview We are seeking a Forward Deployed AI Engineering Manager for our Enterprise team. In this pivotal role, you will act as the technical liaison between Scale AI's state-of-the-art AI solutions and our key clients. You will engage with enterprise customers to identify their specific challenges, lead a team focused on designing custom AI solutions, and oversee the successful deployment and integration of AI systems in production settings. This managerial position merges extensive engineering and AI expertise with direct involvement in customer-centric challenges. You will collaborate directly with client engineering teams to embed AI into their essential workflows. Key Responsibilities Customer Integration & Deployment Engage directly with enterprise customers to comprehend their technical infrastructure, data pipelines, and business needs. Design and execute custom integrations between Scale AI's platform and client data environments, including cloud platforms, data warehouses, and internal APIs. Create robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows. Deploy and configure AI models and agents within the client's security and compliance frameworks. AI Agent Development Develop production-ready AI agents tailored to customer use cases across various domains, such as customer support, data analysis, content generation, and workflow automation. Design architecture for multi-agent systems that manage interactions between different models, tools, and data sources. Implement evaluation frameworks to assess agent performance and refine strategies to achieve business objectives. Create human-in-the-loop processes and feedback mechanisms to facilitate continuous improvements of the agents. Prompt Engineering & Optimization Develop sophisticated prompt engineering strategies tailored to customer-specific domains and data. Establish and maintain prompt libraries, templates, and best practices for customer applications. Conduct systematic prompt experimentation and A/B testing to enhance model outputs. Implement Retrieval-Augmented Generation (RAG) techniques to optimize AI performance.
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.
Join Cloudflare as a Software Engineer specializing in Enterprise Integrations, where you will contribute to building and enhancing our suite of solutions that seamlessly integrate with enterprise systems. You will work collaboratively with cross-functional teams to design, develop, and implement scalable integration solutions that meet the complex demands of our enterprise clients.
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 Simple AIAt Simple AI, we are pioneering cutting-edge voice AI solutions tailored for enterprises. Our lifelike voice agents empower renowned companies such as DoorDash, xAI, and Omaha Steaks in managing diverse phone operations ranging from customer support to order intake and lead qualification. As we experience rapid revenue growth, we seek a couple of founding software engineers to help us meet current customer demands while developing innovative systems for the future. Our team is passionate about harnessing AI to transform the world, and we operate from our San Francisco office five days a week.Simple AI is proudly supported by top-tier investors and industry leaders, including Y Combinator, Massive Tech Ventures, and prominent figures like Michael Seibel (co-founder of Twitch), Jared Friedman (Scribd), Alexandr Wang (Scale AI), Matt Van Horn (June Oven and Lyft), Suhail Doshi (Mixpanel), JJ Fliegelman (WayUp), and Scott Wu (Cognition).Meet the FoundersThe founders, Catheryn Li and Zach Kamran, previously led software teams at Y Combinator, where they launched numerous products for YC founders, including the co-founder matching site. Cat brings experience from Instagram and Facebook and holds degrees in mathematics and computer science from MIT. Zach studied computer science and statistics at the University of Chicago and led software initiatives at PEAK6.What We ProvideCompetitive salary with significant equity opportunitiesEmployee-friendly equity termsOffice located in San FranciscoComprehensive health, dental, and vision insuranceComplimentary lunch and dinner at the officeFree Uber rides home after 8:30 PMRegular team events and offsite activitiesYour Qualifications4+ years of relevant software engineering experience.Exceptional problem-solving skills and a passion for tackling technical challenges.A customer-centric mindset coupled with strong communication skills and a keen interest in product design and prioritization.Self-motivated with the ability to work independently.A genuine enthusiasm for continual learning and keeping abreast of the latest advancements in AI.
Full-time|$179.4K/yr - $224.3K/yr|On-site|San Francisco, CA; New York, NY
About Scale AI Scale AI serves as the foundational platform for data in artificial intelligence, empowering organizations to design and deploy dependable AI applications in production. Our collaborations with top-tier enterprises and government agencies accelerate their AI endeavors through our comprehensive data annotation platform, innovative generative AI solutions, and robust enterprise AI capabilities. Role Overview As a Senior Forward Deployed AI Engineer on our Enterprise team, you will act as the crucial technical link between Scale AI's advanced AI technologies and our key clients. You will engage with enterprise customers to grasp their specific challenges, architect tailored AI solutions, and facilitate the successful implementation and adoption of AI systems within production settings. This hands-on technical position merges profound engineering skills with customer-oriented problem-solving. You will collaborate directly with client engineering teams to seamlessly integrate AI into their pivotal workflows. Key Responsibilities Customer Integration & Deployment Engage directly with enterprise clients to assess their technical infrastructures, data pipelines, and business needs. Design and execute custom integrations between Scale AI's platform and clients' data environments, including cloud platforms, data warehouses, and internal APIs. Develop resilient data connectors and ETL pipelines to acquire, process, and prepare client data for AI applications. Deploy and configure AI models and agents in alignment with client security and compliance requirements. AI Agent Development Create production-ready AI agents tailored to specific client use cases across various sectors, including customer support, data analytics, content generation, and workflow automation. Design multi-agent systems that coordinate between diverse models, tools, and data sources. Establish evaluation frameworks to assess agent performance and refine them in pursuit of business objectives. Develop human-in-the-loop processes and feedback systems for ongoing agent enhancement. Prompt Engineering & Optimization Develop sophisticated prompt engineering methodologies optimized for client-specific domains and data. Create and maintain prompt libraries, templates, and best practices for client scenarios. Conduct systematic prompt experiments and A/B testing to enhance model outputs. Implement RAG (Retrieval Augmented Generation) systems and fine-tuning protocols to improve performance.
fractional-ai is hiring a Software Engineer to join the team onsite in San Francisco. This role centers on building and improving technology that advances artificial intelligence. Role overview As a Software Engineer, you will work closely with others to develop and support projects that drive the company’s AI initiatives forward. The work involves collaborating with colleagues and contributing technical solutions in a team setting. What you will do Develop software for AI-driven projects Collaborate with team members in the San Francisco office Contribute ideas and technical expertise to ongoing initiatives Requirements Interest in technology and artificial intelligence Ability to work onsite in San Francisco Strong motivation to learn and contribute to team projects
About the RoleWe are on the lookout for a skilled Forward Deployed AI Engineer to join our dynamic team at Stack AI. This position is crucial for implementing enterprise-level AI solutions with an emphasis on Retrieval-Augmented Generation (RAG) pipelines and large language model (LLM) workflows. Your contributions will significantly enhance our offerings to Fortune 500 companies and enterprises across diverse sectors.Role Overview:In this role, you will seamlessly integrate large language models into enterprise systems, collaborating with strategic accounts to tailor solutions that meet their technical needs. Utilizing the Stack AI platform, you’ll engage with clients to co-create innovative solutions that address their evolving challenges.Key Responsibilities:Enhance and maintain solutions for strategic accounts using the Stack AI platform.Analyze and document requirements and relationships within target enterprise offices.Identify opportunities and provide insights to shape our go-to-market strategy.Directly contribute to the Stack AI codebase, transforming customer feedback into enhancements for the Python backend and React/Next.js TypeScript frontend.Project future opportunities and secure high-value contracts.Draft proposals, present to stakeholders, and lead engaging product demonstrations.Promote Stack AI at enterprise conferences and events.
Full-time|$185K/yr - $230K/yr|Remote|Remote with offices in San Francisco, CA / New York, NY / Minneapolis, MN
About Us At Dagster Labs, we are on a mission to enable organizations to construct productive and scalable data platforms. As the creators of Dagster, the open-source tool that developers trust, and Dagster+, our managed cloud solution, we cater to a diverse range of clients—from innovative startups to global enterprises. Thousands of teams rely on us to drive the data that fuels their analytics, machine learning, and AI advancements. We understand that the AI revolution is built on reliable, high-quality data. Thus, we strive to make data platforms intuitive, efficient, and enjoyable to utilize. Dagster is swiftly becoming the foundation for how the world builds intelligent systems. We are a dynamic, well-funded team with a history of delivering exceptional software. We set high goals and collaborate closely, adhering to the highest standards and trusting each other to contribute effectively. Our culture emphasizes teamwork, curiosity, and a shared commitment to creating impactful solutions. If you are eager to influence the future of data and AI while enjoying the journey, we invite you to join us in building something remarkable. About the Role Are you a passionate software engineer who excels at addressing customer challenges while enhancing a platform? The Enterprise Engineering team at Dagster is dedicated to ensuring our largest clients succeed with Dagster, while also enhancing Dagster+ with features tailored for larger organizations. Your work will involve improving and extending Dagster to cater to the needs of enterprise clients, including addressing scaling challenges and developing new features and integrations. In this role, you will not only apply your technical expertise but also directly engage with customers implementing Dagster, transforming their feedback into actionable insights that unblock them and enhance the product. This position offers a unique opportunity to make a tangible impact by solving real-world challenges and delivering valuable solutions to our users and clients. This is a full-time position offering a competitive salary, equity, and benefits. We operate as a distributed team with offices in San Francisco, New York, and Minneapolis. We welcome fully remote candidates authorized to work in the United States and provide flexible remote work options to optimize your productivity.
Join our dynamic team at Cloudflare as a Senior Software Engineer specializing in Enterprise Readiness. This role demands a high level of technical expertise and a passion for building robust, scalable systems that enhance the enterprise experience. You will collaborate with cross-functional teams to design, develop, and implement innovative solutions that drive performance and efficiency.
Mar 4, 2026
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