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Experience Level
Entry Level
Qualifications
We are looking for candidates with a strong technical background, excellent problem-solving skills, and the ability to communicate effectively with both technical and non-technical stakeholders. Experience in software development, system integration, and customer-facing roles is highly desirable. A passion for technology and a commitment to delivering outstanding service is essential.
About the job
Join Tavus as a Forward Deployed Engineer, where you will be at the forefront of implementing innovative solutions and enhancing customer experiences through cutting-edge technology. As a pivotal member of our team, you will work closely with clients to deploy and customize our products, ensuring they meet their unique needs and drive success.
About Tavus
Tavus is a forward-thinking technology company based in San Francisco, dedicated to transforming the way businesses engage with their customers. Our team is composed of innovative professionals who thrive on collaboration and creativity, pushing the boundaries of what's possible to deliver exceptional solutions.
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Search for Forward Deployed Engineer At Runlayer San Francisco Ca
At Runlayer, we're at the forefront of AI innovation, transforming how enterprises operate. While many organizations are eager to harness the power of AI tools and workflows, they often struggle to implement them securely. Our mission is to bridge that gap.Our accomplished team has developed AI Actions for OpenAI, launched Zapier Agents to millions, and introduced the first remote MCP server with Anthropic. With the co-creator of MCP as part of our cap table, we established the protocol and are now building the essential platform that enterprises need to leverage it effectively.Runlayer is a comprehensive platform for MCPs, Skills, and Agents. We provide purpose-built security, fine-tuned governance, and complete observability, empowering organizations to advance AI initiatives across all departments with minimized risk. Backed by $11M from Khosla Ventures and Felicis, our clients include notable names such as Gusto, Instacart, and Opendoor.As a burgeoning team of 20, primarily composed of engineers, we are delivering rapid results. If you're eager to be at the epicenter of AI execution, this is your opportunity.In the role of Forward Deployed Engineer, you will take charge of the technical aspects of customer go-to-market strategies, managing Proofs of Concept (POCs), resolving integration challenges, and collaborating closely with clients to ensure successful deployment on Runlayer.
At Runlayer, we are pioneering the connection between AI and enterprise systems through our innovative MCP framework. Developed in collaboration with industry leaders like Anthropic, OpenAI, Google, and Microsoft, our platform is setting the standard for secure AI integration.Our dedicated team has successfully created AI Actions for OpenAI, delivered Zapier Agents to millions, and launched the first remote MCP server with Anthropic. We are committed to building solutions that empower enterprises to safely adopt MCP technology.Runlayer serves as the control plane for enterprise MCP by providing robust security, observability, and management capabilities, enabling organizations to connect AI to their systems without compromising safety. Backed by $11M from Khosla Ventures and Felicis, we pride ourselves on having the creator of MCP as an investor.With a small team of 15 engineers, we are rapidly innovating and signing on customers. Join us to be at the forefront of AI technology and its transformative potential.Why You'll Thrive HereImpact: Play a crucial role in shaping the technical direction of our core platform, delivering transformative results for our users and clients.Excellence: Collaborate with leading engineers and visionary leaders at the intersection of AI, infrastructure, and product innovation.Ownership: Take full responsibility for key projects, from conception to deployment, iterating quickly to provide significant value.What You'll DoDesign and implement scalable, robust systems that support our platform and client solutions.Address unique integration, data transformation, and workflow challenges using both traditional coding and AI technologies.Engage directly with stakeholders, including enterprise clients, to gather requirements and translate business needs into technical solutions.Quickly prototype, validate, and iterate on new features and product ideas based on feedback and real-world usage.Mentor and collaborate with fellow engineers, setting high standards for code quality, technical design, and problem-solving.Contribute to the advancement of engineering best practices and core platform capabilities.What We're Looking ForSignificant software engineering experience (typically 7+ years) with a strong foundation in system architecture.Proficient in coding with a blend of traditional programming languages and AI technologies.Strong analytical and problem-solving skills with a passion for mentoring others.
Join Runlayer as a Senior Product Engineer, where you will play a pivotal role in shaping the future of AI integration with enterprise systems. Our mission is to empower organizations to leverage AI securely and efficiently through our innovative control plane for MCP (Managed Communication Protocol).At Runlayer, we are the architects of AI Actions for OpenAI and have successfully delivered Zapier Agents to millions. Recently, we launched the first remote MCP server with Anthropic, and we are now focused on building the necessary infrastructure for enterprises to adopt MCP safely.As part of our dynamic team of engineers, you will directly engage with customers to translate their challenges into actionable product enhancements. Your contributions will directly influence our product roadmap, ensuring we meet our clients' evolving needs.
At ConductorOne, we are pioneering the future of identity security with our AI-native platform designed to safeguard every identity—be it human, non-human, or AI. Our robust automation capabilities, platform-level AI, and ready-to-use connectors provide centralized access visibility, enforce meticulous control measures, and streamline user access reviews across all applications. Trusted by industry leaders such as DigitalOcean, Instacart, Ramp, and Zscaler, our solution is user-friendly, rapidly deployable, and highly effective.As a Forward Deployed Engineer, you will work closely with customers and our internal product teams to develop integrations, automation, and customized workflows that enhance the reliability and security of identity infrastructure. Your time will be split between engaging with customers (both remotely and onsite), product engineering, and resolving customer challenges—delivering production-safe software, executing connector deployments, and transforming customer requirements into scalable product features.You'll serve as the crucial technical link connecting product, engineering, and our clients: designing and implementing connectors, automating identity workflows, and advising customers on best practices for identity controls. Expect a dynamic role—one week you might be crafting a connector for a legacy HR system, the next collaborating on product enhancements, and the following week developing tailored workflows on the ConductorOne platform.
About CartesiaAt Cartesia, we are on a mission to revolutionize artificial intelligence by creating interactive intelligence that is seamlessly integrated into everyday life. Our innovative approach is focused on developing models that can process and reason over extensive streams of audio, video, and text, enabling real-time, on-device capabilities.Our founding team, comprised of PhDs from the Stanford AI Lab, has pioneered State Space Models (SSMs), a groundbreaking method for training efficient, large-scale foundation models. With a blend of model innovation and systems engineering expertise, coupled with a design-oriented product engineering team, we are dedicated to delivering state-of-the-art models and user experiences.We are backed by top investors such as Index Ventures and Lightspeed Venture Partners, and supported by a network of esteemed advisors and over 90 angel investors from various industries, including some of the leading experts in AI.About the RoleWe are seeking a Forward Deployed Engineer to propel our mission of developing real-time, multimodal intelligence. In this role, you will work closely with enterprise customers to implement voice AI solutions directly into their production environments. As an FDE, you will enhance customer success and drive revenue by transforming Cartesia's core product into impactful solutions.Your ImpactWrite and ship production-grade code – Create, build, and deploy voice AI systems that enhance real enterprise workflows.Own deployments end-to-end – Lead the discovery, architecture, implementation, and rollout for key customer engagements, demonstrating your ability to navigate ambiguity and drive project progress.Deliver across complex infrastructure – Manage deployments in cloud, VPC, and on-prem environments while ensuring compliance with security and networking requirements.Unblock critical integrations – Identify and resolve integration challenges, performance issues, and deployment obstacles under real-world constraints.Drive expansion through building – Discover new use cases and prototype solutions that enhance customer adoption and long-term value.
Join Our MissionAt Vitalize, we are dedicated to revolutionizing hospital operations by creating a future that is safe, autonomous, equitable, and cost-effective.Currently, many hospitals still rely on outdated methods like spreadsheets and manual processes for critical functions such as staffing and capacity management. This leads to inefficiencies, staff burnout, and negative patient outcomes.Vitalize offers an innovative operating system designed specifically for healthcare teams. Our platform provides real-time decision support to clinical leaders, streamlining workflows and optimizing labor costs while maximizing patient capacity across healthcare systems.Our team consists of talented individuals from prestigious institutions like Stanford and Cambridge, including former math champions and serial entrepreneurs. We are already operational in over 20 hospitals, generating significant revenue, and backed by esteemed investors. Having tripled our revenue in the last three months, we are poised for rapid growth. This is your opportunity to contribute to foundational healthcare infrastructure at a pivotal time.Role OverviewWe are seeking a Forward Deployed Engineer to be at the forefront of Vitalize’s most significant and intricate enterprise projects.This position is tailored for engineer operators eager for substantial responsibilities, direct customer interaction, and immediate technical ownership. You will work closely with large, multi-million dollar health system clients, gaining unique insights at the intersection of engineering, enterprise software, and healthcare operations.Your role will involve spending significant time on-site to understand hospital operations, assess our product's performance under stress, and identify areas for improvement. You will implement solutions, inform product development, and contribute to Vitalize's expansion among enterprise clients.This is a high-impact position with significant visibility. You will become one of the key individuals familiar with our customers' needs and operations.What You’ll DoEngage with Enterprise Clients (Approximately 50% travel)Travel frequently to customer locations, collaborating with health system partners during deployments and crucial phases.Establish trust with clinical leaders, including Chief Nursing Officers and executive stakeholders, by thoroughly grasping their workflows and limitations.Facilitate and Resolve DeploymentsWork closely with Deployment Strategists to ensure seamless transitions and effective adoption of our solutions.Quickly troubleshoot issues, identify root causes, and assist customers in overcoming obstacles.
About Flow EngineeringFlow Engineering is at the forefront of revolutionizing how humanity constructs its most intricate machines. Our platform is the premier tool for complex systems engineering, embraced by pioneering teams in sectors such as aerospace, defense, automotive, aviation, and robotics. If a company is aiming for the Moon, developing fusion energy, or planning the first interplanetary settlement, they are likely utilizing Flow Engineering to achieve those ambitious goals.We are proudly backed by Sequoia Capital, with notable angel investors including Patrick and John Collison (Stripe), David Helgason (Unity), and Kyle Parrish (Figma).About the RoleAs one of our pioneering Forward Deployed Engineers, you will operate at the crucial intersection of sales, engineering, and customer engagement. Your role involves comprehending how advanced hardware teams operate, guiding deployments, and facilitating adoption, ensuring that our customers are equipped with the insights and tools necessary to attain significant results.This position is perfect for individuals who have a background in hardware engineering and have a passion for collaborating with customers to solve complex challenges. You will empower leading hardware companies to transform their operational methodologies.What You’ll DoOwn the Technical Win: You will play a vital role in the sales process, driving custom demos and managing trial/POC execution, which is critical for securing new business for Flow Engineering.Understand and Map Customer Workflows: Collaborate with clients to gain a comprehensive understanding of their workflow, address pain points, and prioritize solutions tailored to their needs.Conduct Technical Enablement Sessions: Identify and showcase how Flow can enhance the customer’s development process through workshops, training, and collaborative solution sessions.Shape Our Roadmap: Act as the liaison between our customers and the engineering team to develop innovative solutions. Your insights will be essential in crafting the future roadmap of our product.Establish the GTM Foundation: Assist in developing and defining Flow’s activation strategies for key customers. You will contribute to the design of our technical GTM playbook, implementation guides, and training materials for future team members.About YouSolid Software Engineering Fundamentals: Proficient in designing, testing, and operating services at scale within a cloud environment.Excellent Communication Skills: Ability to convey technical concepts effectively to both technical and non-technical audiences.Customer-Centric Focus: Passionate about collaborating with customers and driven to solve their challenges.Proactive Problem-Solving: Ability to anticipate and address customer needs before they arise.
About HandshakeHandshake serves as the premier career network tailored for the AI-driven economy, connecting 20 million knowledge workers, 1,600 educational institutions, and 1 million employers, including all of the Fortune 50. Our platform is trusted for career exploration, recruitment, and skills enhancement, catering to freelance AI training opportunities, internships, and full-time roles. This distinctive offering has fueled exceptional growth, with a projected tripling of our ARR by 2025.Why consider joining Handshake now:Influence the trajectory of careers in the AI sector globally, making a tangible impact for your community and network.Collaborate closely with leading AI laboratories, Fortune 500 companies, and top-tier educational institutions.Become part of a team comprising leaders from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others.Help build a rapidly expanding business with significant revenue potential.Role OverviewIn the position of Staff Forward Deployed Engineer, you will be pivotal in crafting and executing the technical strategy for how Handshake provides engineered solutions to our key clients, including premier AI labs. You will act as a trusted technical advisor to both our clients and internal leadership, taking ownership of the vision for scaling our forward-deployed engineering function while being actively involved in addressing our most complex deployment challenges. Your contributions will have a direct impact on product direction, influence platform architecture, and set the technical standards for the entire forward-deployed engineering team.This role presents a unique chance to blend organization-wide technical influence with significant customer impact, establishing the framework for the development, delivery, and scaling of Handshake's most essential partnerships.Location: San Francisco, CA | 5 days/week in-officeDefine the technical strategy and architectural vision for forward-deployed engineering, ensuring that solutions are scalable, repeatable, and aligned with Handshake's platform roadmap.Act as the senior technical point of contact for our most complex and high-value client engagements, translating strategic business needs into engineering direction.Foster cross-functional collaboration among forward-deployed engineering, product, platform, and customer-facing teams to ensure deployed solutions enhance and inform the core product.Design and implement production-grade systems for innovative customer challenges.
Forward Deployed Engineer – LanceDBLocation: San Francisco Bay Area (In-Person / Hybrid)Team: EngineeringJob Type: Full-TimeAbout LanceDBAt LanceDB, we are pioneering the future of data management with our open-source, cloud-native vector database and multimodal AI lakehouse. Our platform is designed using a high-performance columnar format, empowering developers and businesses to create scalable, real-time search and analytics applications that integrate vectors, structured data, and AI workflows seamlessly. With options for both embedded and managed deployment models, alongside rich SDKs in Rust, Python, and other programming languages, LanceDB is expertly crafted to enhance state-of-the-art retrieval, feature engineering, and large-scale AI systems.Role OverviewJoin our dynamic Engineering team as a Forward Deployed Engineer (FDE). In this pivotal role, you will bridge the gap between deep systems engineering and direct customer engagement. You will collaborate closely with our strategic clients in the Bay Area to architect, deploy, and optimize LanceDB in high-demand production settings.This is a highly technical, product-facing role. You will not only solve customer challenges but also contribute production-quality code and valuable insights back to LanceDB’s core product lines. Your practical experience in deploying LanceDB alongside modern data infrastructures will play a crucial role in shaping our product architecture, APIs, and overall performance.What You’ll DoLead on-site and remote technical deployments of LanceDB with enterprise clients, focusing on architecture design, performance tuning, and operational stability.Develop and maintain production-grade code in Rust and Python for customer integrations and internal tools.Contribute code upstream to LanceDB’s core repositories, including bug fixes, feature enhancements, and architectural adjustments based on client needs.Gather and relay structured product feedback from customer interactions to product and engineering teams, shaping future roadmaps and designs.Integrate LanceDB into existing data and AI infrastructure stacks like Spark and Ray.Troubleshoot and resolve complex challenges related to distributed systems and cloud environments.
About HappyRobotHappyRobot is revolutionizing the real economy with its AI-native operating system. Our innovative platform integrates real-time data, specialized AI workers, and orchestrating intelligence to empower enterprises in managing complex and mission-critical operations with unparalleled autonomy.Our AI operating system continually accumulates knowledge, optimizes processes, and evolves over time. We are initially focusing on supply chain and industrial-scale operations, where resilience, speed, and continuous improvement are paramount—allowing humans to dedicate their efforts towards strategy, creativity, and high-value activities.With $62 million raised to date, including a recent $44 million Series B funding round in September 2025 and backing from renowned investors such as Y Combinator (YC), Andreessen Horowitz (a16z), and Base10, we are committed to assembling a world-class team. We seek individuals with unyielding drive, exceptional problem-solving skills, and a passion for pushing boundaries in a dynamic and fast-paced environment. If this aligns with your aspirations, HappyRobot is the place for you.Role OverviewWe are on the lookout for a talented and adaptable Forward Deployed Engineer to join our dynamic team. In this pivotal role, you will leverage your technical expertise and outstanding communication abilities to work directly with customers, helping them derive maximum value from the HappyRobot AI platform. Your responsibilities will include customer onboarding, implementation, and ongoing support, along with contributions to product development and innovation.At HappyRobot, we maintain a culture of collaboration, devoid of rigid hierarchies. We build, we execute, we take ownership, and we are deeply invested in our customers' success.
Full-time|$180K/yr - $180K/yr|On-site|San Francisco
About SpeakeasyAt Speakeasy, we aspire to unleash the full potential of APIs, enabling developers to innovate rapidly. Our mission is to assist companies in Building, Testing, and Distributing top-tier APIs. With our comprehensive suite of OpenAPI-native tools, API producers have access to a robust toolkit for designing superior APIs, ensuring governance of API artifacts, and delivering seamless integrations across various ecosystems via production-ready SDKs, AI agent-compatible MCP servers, Terraform Providers, and AI-enhanced API documentation.Our clientele includes renowned tech leaders and Fortune 100 companies such as Mistral AI, Vercel, Gusto, Docusign, and Verizon. By partnering with Speakeasy, these organizations significantly reduce integration time, unlock new revenue streams, and alleviate workloads for their engineering teams.About the RoleAs a Forward Deployed Engineer, you will be pivotal in our customer engagements, taking charge of the hands-on, technical deployment of Speakeasy at key accounts. You will work independently to ensure successful implementations and act as a crucial technical partner for our clients. Your role will involve iterating on our core product and collaborating closely with customers to drive and implement enhancements that align with their objectives.About YouYou possess significant backend/API engineering experience, ideally spanning 6-8 years, and are eager to delve into the technical intricacies of our customers’ APIs and SDKs, leading comprehensive technical deployments with clients and partners.You've previously served as a founding engineer, solutions engineer, or technical founder.You exhibit exceptional customer empathy, adept at connecting customer goals with Speakeasy's offerings.You demonstrate a strong sense of ownership and autonomy, rapidly acquiring new knowledge and identifying areas for impactful contributions, driving successful outcomes with clients.You can gracefully manage multiple customer relationships and navigate potentially competing priorities.You leverage insights from customer interactions to influence product roadmaps and documentation, fostering continuous improvement in customer experience.What You Should Know About UsOur team operates across PST and GMT time zones, which presents both advantages and challenges. We strive for asynchronous processes and you will play a key role in enhancing these systems.We are a close-knit team of around 40 individuals, fostering a collaborative and supportive environment while emphasizing high ownership and accountability.
Chalk builds a platform designed to simplify and accelerate machine learning applications. The company combines the speed of Rust with approachable tools, helping developers tackle issues like complexity, latency, and scalability in ML workflows. Businesses use Chalk to support use cases such as fraud detection, identity verification, and clean energy optimization. The company recently raised $50 million in Series A funding, led by Felicis. More details can be found in this Reuters article. Role overview This Forward Deployed Engineer role is based in San Francisco and requires full-time, in-person presence (five days a week). As an early team member, you will work closely with clients and Chalk’s machine learning teams to deliver tailored technical solutions and improve the company’s infrastructure. Projects span industries like healthcare, finance, and recommendation systems, with applications including cancer detection, fraud prevention, and product recommendations. What you will do Design and implement Chalk’s technology solutions for customers, learning the platform’s infrastructure and optimizing integrations. Work closely with Engineering and Sales teams to deliver projects. Act as the main technical contact for clients during both pre-sales and post-sales, supporting onboarding and ongoing needs. Advise clients as their requirements change and new product features become available. Contribute to hiring by participating in Engineering team interviews. Requirements Technical background in software development or machine learning model development. Minimum of 2 years of experience in backend software engineering. Proficiency in Python and SQL. Strong teamwork and collaboration skills. This position is not hybrid. While Chalk offers flexibility for unavoidable conflicts, the expectation is a full-time, in-office schedule.
Human Delta serves as the AI adoption catalyst for American enterprises, enabled by leading venture capital firms such as Susa Ventures, Wischoff Ventures, Afore Capital, and the Kleiner Perkins Scout Fund, alongside esteemed angels from renowned research institutions and financial entities. Our talented engineering team is dedicated to creating an operational framework that ensures enterprise AI is reliable, secure, and scalable.The Role:As a pivotal member of Human Delta, you will contribute to our mission of facilitating AI adoption in large enterprises. Our platform is utilized by a diverse range of users, from technical teams to operational leaders, who depend on our solutions to gain insights into their systems, understand process dynamics, and observe AI behavior in practical scenarios.In this role, you will operate at the confluence of engineering, product development, and operations. Your responsibilities will include converting complex real-world challenges into actionable technical strategies, making impactful architectural choices within established constraints, and working closely with founders and clients to tailor our platform to the rigorous demands of environments where precision and dependability are paramount.We pride ourselves on our agility and maintain a high standard for clarity, accuracy, and code maintainability.About the Role:Join as an early engineer with significant equity opportunitiesThis is a full-time position located in San Francisco, CAEnjoy flexible working hoursReceive comprehensive health, vision, and dental coverage, with 100% of the premium coveredCollaborate closely with founders and early adoptersThrive in a high-ownership culture with rapid development cyclesWhat Makes You a Good Fit:Proficient in navigating the technology stack, from APIs and data layers to user interfaces and client-facing toolsExcellent communication skills and a confident approach to engaging directly with enterprise clientsAbility to distill complex, ambiguous problems into clear and effective solutionsStrong intuition for product design, user experience, and system architectureBonus Points:Familiarity with large language models (LLMs), retrieval systems, knowledge bases, or search technologiesExperience with enterprise software platforms (CRMs, ticketing systems, content management systems)Previous experience handling large or complex datasetsA solid understanding of AI technologies and their practical applications
About GigaGiga has recently secured $61 million in Series A funding and already boasts several customers, including DoorDash. We're pioneering the future of customer experience with real-time AI agents capable of understanding emotions, resolving issues instantly, and scaling across the world's largest enterprises.This is an exciting time for Giga as we embark on ambitious goals to become the leading AI platform for enterprise automation, driven by our advanced voice superintelligence. Great engineering talent is crucial to help us realize this vision.Our engineers have the autonomy to make significant impacts on millions of lives daily, and this role provides a unique opportunity to join a company with visionary founders, proven commercial success, and a clear trajectory towards becoming a generational brand.To learn more about us, check out:Voice AI startup Giga raises $61M Series ADoorDash and Giga PartnershipIf this opportunity resonates with you, we encourage you to apply!Role OverviewWe are on the lookout for a Forward Deployed Engineer to join our teams in San Francisco and New York. In this role, you will be the technical liaison between Giga and our clients, responsible for building and deploying sophisticated AI solutions tailored to customer needs.Your Responsibilities:End-to-End Customer Engagement: Conduct discovery calls and demos, develop and maintain exceptional AI agents, participate in customer interactions, and serve as the primary point of contact in a dynamic environment.Agent Development Lifecycle Ownership: Rapidly build and prototype solutions, establish CI/CD pipelines, monitor real-time usage, iterate towards objectives, debug live issues, communicate with clients, and document best practices to enhance efficiency in future projects.Feedback Integration with Product & Platform: Identify unmet needs, prototype new features, directly contribute to the codebase, and collaborate with core teams to enhance our platform for all customers.Qualifications:Technical Proficiency: Strong understanding of React, Python, API integrations, and tool calls.Interpersonal Skills: Excellent communication and relationship-building capabilities for effective client interactions.
Join Vooma as a Forward Deployed EngineerIn the rapidly evolving landscape of enterprise software, we are witnessing a transformative shift from traditional "systems of record" to innovative "systems of automation." At Vooma, our goal is to harness the power of AI to revolutionize the logistics sector, particularly focusing on the $800+ billion trucking industry in the United States.Vooma is dedicated to developing an advanced AI orchestration platform that will empower freight brokers and trucking companies to enhance their operations, allowing them to secure more business and execute freight seamlessly. Our AI agents are designed to automate critical workflows across various communication channels, including voice, email, and text.Backed by leading investors such as Index Ventures, Craft Ventures, and Y-Combinator, we are positioned to lead the charge in transforming logistics through automation.Your RoleAs a Forward Deployed Engineer on our founding team, you will play a pivotal role in bridging the gap between our cutting-edge AI technology and the operational systems within the freight industry. Your responsibilities will include collaborating with enterprise clients to design, develop, and implement tailored integrations that bring our AI solutions into their daily operations.If you are known for your ability to tackle challenges and drive progress regardless of the circumstances, you will thrive in this role. You will enjoy engaging with customers, solving intricate technical problems, and witnessing the immediate impact of your work on multi-billion dollar businesses.Key ResponsibilitiesConduct discovery sessions with freight brokers, carriers, and IT teams to identify pain points, data sources, and success metrics.Design comprehensive solutions by mapping data flows, selecting appropriate models, and developing integration architectures compatible with existing TMS/ERP systems.Rapidly build and deploy high-quality code (Python/TypeScript), set up APIs, webhooks, and ETL pipelines to connect Vooma agents to client systems.Iterate quickly by releasing incremental updates, validating performance in production, and refining features based on user feedback.
About SuperAnnotateSuperAnnotate empowers leading AI teams worldwide to develop responsible and advanced models driven by high-quality human data. As a rapidly growing Series B startup, we bridge the gap between cutting-edge AI innovation and the data that fuels it. Our global network of expert specialists, scalable managed operations, precise talent matching, and full project transparency guarantees exceptional data quality at scale. Trusted by industry leaders such as Databricks and ServiceNow, and backed by prominent investors like NVIDIA, Dell Technologies Capital, Databricks Ventures, Cox Enterprises, and Lionel Messi’s Play Time VC, SuperAnnotate proudly holds the title of the highest-rated AI data company on G2 for multiple consecutive years, including 2025.Your Role and ImpactAs a Forward Deployed Engineer, you will be integral in executing complex coding projects that drive next-generation LLM and GenAI solutions for enterprise clients. This role transcends mere coding; you will design coding data roadmaps, leverage your technical acumen for large-scale initiatives, and oversee the operational delivery of projects involving over 100 global coder contractors. Your commitment to quality, speed, and innovation will directly influence how enterprise AI projects come to fruition at scale.This is a full-time hybrid position based in San Francisco.
About UsServal is a pioneering AI-driven automation platform revolutionizing the operational landscape for enterprises. We develop intelligent agents that comprehend complex real-world workflows and execute them seamlessly—transforming traditional manual processes and outdated legacy systems into adaptable, learning software solutions. Established in early 2024, Serval has quickly gained the trust of industry leaders such as General Motors, Notion, Perplexity, Vercel, Mercor, LangChain, and Verkada, automating high-volume and high-friction operational tasks across their organizations.At the heart of Serval lies a sophisticated agentic AI platform that translates natural language into production-ready workflows. Our agents not only respond to requests but also reason, take action across various systems, and enhance their capabilities over time. What initiated with operational use cases has rapidly expanded into a comprehensive AI automation layer applicable across IT, HR, Finance, Security, Legal, and Engineering.Our vision is to eradicate repetitive manual labor within enterprises, empowering teams through intelligent automation. In the long run, we aim to establish a universal AI operations layer—a network of agents that spans business functions and manages the workflows essential for the success of modern companies.Supported by top-tier investors including Sequoia Capital, Redpoint Ventures, Meritech, First Round, General Catalyst, Elad Gil, and others, and founded by product and engineering visionaries from Verkada.Position OverviewAs a Forward Deployed Engineer at Serval, you will play a key role in introducing cutting-edge IT automation to some of the most intricate enterprises globally. You will engage directly with customers to transform chaotic, high-stakes workflows into dependable AI-powered systems—delivering production code that significantly impacts both revenue and product trajectory. This role is ideal for passionate builders seeking genuine ownership, tangible stakes, and a clear connection between their contributions and the company's growth.You will operate at the crossroads of product development, engineering, and customer engagement—translating real-world complexities into scalable solutions and promoting the adoption of our AI automation platform.
Full-time|$150K/yr - $230K/yr|On-site|San Francisco
fal is at the forefront of developing the most rapid and scalable infrastructure for AI inference. Our fal Serverless platform powers over 1,300 endpoints on the fal Marketplace, efficiently managing tens of millions of requests daily across various production workloads. Enterprises leverage fal Serverless to seamlessly deploy, operate, and scale custom AI models without the burden of infrastructure management. Our platform excels in autoscaling, observability, and operational efficiency, all handled through fal’s intuitive UI. Initially designed as internal infrastructure to support fal’s own scale, Serverless was publicly launched for enterprise clients in early 2025 and has since evolved into a core revenue-generating product experiencing rapid adoption. As one of the fastest-growing AI startups, fal has reached Series D funding with a valuation of $4.5 billion, all while maintaining a lean team of approximately 70 employees. Joining us means becoming an early member of a dynamic team where your contributions directly influence a foundational product.
Join Tavus as a Forward Deployed Engineer, where you will be at the forefront of implementing innovative solutions and enhancing customer experiences through cutting-edge technology. As a pivotal member of our team, you will work closely with clients to deploy and customize our products, ensuring they meet their unique needs and drive success.
Join Our Innovative Team at Simple AIAt Simple AI, we are transforming enterprise communications through cutting-edge voice AI agents. Our highly realistic agents empower leading companies such as DoorDash, xAI, and Omaha Steaks to efficiently manage a variety of phone operations, including customer support, order processing, and lead qualification.As we experience exponential growth and a surge in customer demand, we are seeking a few founding software engineers to help us navigate this exciting journey and develop systems for the future. Our passionate team operates from our vibrant San Francisco office five days a week, driven by a shared vision of leveraging AI to make a significant impact in the world.We are proud to be backed by esteemed investors and operators, including Y Combinator, Massive Tech Ventures, and industry leaders such as Michael Seibel (Twitch), Jared Friedman (Scribd), and more.
Oct 8, 2025
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