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Experience
Qualifications
QualificationsA minimum of 3 years of full-stack software engineering experience, particularly with React, Python, APIs, and databases. Exceptional ability to convey complex technical concepts to both technical and non-technical audiences. Demonstrated success in resolving critical production issues under tight deadlines. Strong knowledge of distributed systems, deployment pipelines, and production operations. Experience in customer-facing roles or technical consulting settings. Self-motivated problem solver with excellent written and verbal communication skills.
About the job
We are looking for a talented and experienced Forward-Deployed Engineer to become a vital part of the Codegen team. The ideal candidate will possess extensive full-stack development expertise, outstanding interpersonal skills for customer engagement, and the capability to swiftly diagnose and resolve intricate production challenges.
About the Role
As a full-time Forward-Deployed Engineer at Codegen, you will operate at the crossroads of engineering and customer success.
Your responsibilities will include direct customer interactions, prompt issue resolution, and ensuring system stability across various deployment environments. This role is tailored for professionals who excel in technical roles that involve customer engagement.
Our technology stack includes Python for backend services, React for frontend development, and robust integrations with tools like GitHub, Linear, and Slack.
About Codegen
Codegen is a forward-thinking technology company dedicated to bridging the gap between engineering and customer success. We pride ourselves on our innovative solutions and our commitment to providing excellent customer service.
Join promise as a Forward Deployed Software Engineer and be at the forefront of innovative solutions that drive impactful change. In this role, you will work closely with clients, deploying cutting-edge software solutions that enhance their operational capabilities. Your expertise will contribute to our mission of delivering exceptional services and solution…
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that comprehend complex real-world workflows and execute them seamlessly—transforming traditional manual processes and outdated legacy systems into adaptable, learning software solutions.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.
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.
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.
Join Deepgram as a Forward Deployed Engineer, where you'll play a crucial role in transforming the restaurant industry with cutting-edge AI technology. As part of our dedicated team, you will collaborate directly with clients to implement and optimize our speech recognition software, ensuring they achieve maximum value from our solutions.Your expertise will guide restaurants in leveraging voice technology to streamline operations, enhance customer experiences, and drive efficiency. If you are passionate about technology and love solving complex problems, this is the perfect opportunity for you!
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 Our TeamAt OpenAI, our Forward Deployed Engineering (FDE) team collaborates with clients to transform groundbreaking research into scalable production systems. We thrive at the crossroads of client engagement and core platform innovation.Role OverviewAs a Forward Deployed Engineer (FDE), you will spearhead the intricate deployment of advanced models in production environments, working closely with our most significant clients. You will take ownership of the entire project lifecycle, from initial discovery and technical scoping to system design, implementation, and rollout, collaborating directly with customer engineering and specialized teams.Your success will be gauged by how well our solutions are adopted in production, the measurable impact on workflows, and feedback that influences product and model strategies. You will closely interact with our Product, Research, Partnerships, Governance, Risk, Compliance, Security, and Go-To-Market teams.This position is based in San Francisco, following a hybrid work model requiring three days in the office each week. We provide relocation assistance, and travel may be required up to 50%.Key ResponsibilitiesLead technical delivery across multiple deployment phases, from initial prototype to stable production.Develop full-stack systems that provide substantial value to customers and enhance our learning processes.Work intimately with customer teams to understand their requirements and facilitate the adoption of your solutions.Scope projects, plan deliveries, and proactively address potential obstacles.Make strategic decisions about project scope, speed, and quality; adapt plans to ensure successful delivery.Contribute code directly when progress or clarity is essential.Document effective workflows into tools, playbooks, or foundational building blocks for broader use.Provide valuable field feedback to help our Research and Product teams identify areas for model improvement.Ensure team momentum through clear communication and consistent follow-through.Ideal Candidate Profile5+ years of engineering or technical deployment expertise, with a focus on client-facing roles.Experience in scoping and delivering complex systems in dynamic or unclear environments.Proficient in writing and reviewing production-level code across both frontend and backend technologies, particularly Python.
Why Choose Dealops?In the era of AI, companies are rethinking their pricing, sales, and scaling strategies. The transition towards outcome-based, usage-based, and hybrid pricing models has unveiled a market exceeding $25 billion, creating a demand for innovative solutions in pricing, deal execution, and sales compensation. Founded by former Stripe professionals and supported by investors such as Pear VC, General Catalyst, and executives from OpenAI, Stripe, and Slack, Dealops is at the forefront of this evolution, offering an AI-powered platform designed to enable flexible pricing, streamline workflows, and enhance sales performance.Your RoleAs a Forward Deployment Strategist, your primary goal will be to bridge the gap between user requirements, data insights, and product capabilities, empowering customers to extract tangible value from Dealops. Our modular AI platform has reduced complex technical implementations from months to just weeks. You will be a key driver of this transformation in the industry.This position is in-person at our San Francisco office. You will collaborate closely with customers to shape the next generation of AI products, delve into their pricing and deal workflows, and partner with leaders in RevOps, Finance, and GTM to create and implement scalable solutions.If you have spearheaded impactful, client-focused projects and are eager to influence the future of AI pricing, this is your opportunity to drive change rather than merely suggest it.Complete Ownership – Take full accountability from start to finish, eliminating hand-offs.Scaling Growth – Develop playbooks from the ground up instead of just following existing ones.Customer Engagement – Provide hands-on onboarding, fostering adoption and growth.Strategic Insights – Transform insights into actionable GTM strategies and product initiatives.
About UsAt Workhelix, we are a cutting-edge technology services firm dedicated to optimizing organizations' AI investments.Our expert team and innovative software empower leaders to address three pivotal questions regarding the business impact of AI:What are our most significant opportunities to leverage AI for value creation?Are our current AI initiatives yielding desired results? What is their ROI?How can we expedite and enhance the benefits derived from our AI investments?To provide tailored solutions for our clients, Workhelix draws upon unmatched expertise in economics, AI, and data science. Our pioneering task-scoring methodology identifies top GenAI opportunities, facilitating data-driven deployment strategies. Our ROI monitoring suite utilizes Nobel Prize-winning economics to deliver precise, ongoing insights into the effects of GenAI implementations. We are proudly supported by renowned thinkers in AI and Economics, including Andrew Ng, as well as co-founders Andy McAfee and Erik Brynjolfsson.We foster a culture rooted in five fundamental principles. To learn more about our leadership values, please visit our careers page.This is a full-time position available to candidates located in the Greater San Francisco area or those willing to relocate.
Assort Health is building a more accessible, seamless healthcare experience. Our AI-driven platform connects patients and providers, streamlining communication and reducing inefficiencies in care. Since launching in 2023, we’ve supported over 125 million patient interactions, cut hold times from 11 minutes to just 1, and achieved a 98% resolution rate with 99% scheduling accuracy. Thousands of providers now use our system, and patient satisfaction averages 4.5 out of 5 across more than 52,000 reviews. We’re growing quickly and expanding our reach in healthcare. Role Overview Forward Deployed Engineers at Assort Health lead customer deployments from the ground up. This position takes responsibility for implementing our platform within health systems, working directly with clients to build, configure, and launch AI agents tailored to each organization’s needs. What You Will Do End-to-End Implementation: Oversee the full cycle of health system deployments, from technical scoping through go-live and ongoing support. Integration Development: Build custom integrations with complex healthcare platforms. Workflow Design: Create intelligent workflows to match each client’s specialty, patient population, and operational processes. Agent Launch: Deploy AI agents that handle thousands of patient interactions every day. Location This role is based at our San Francisco headquarters.
Full-time|$350K/yr - $475K/yr|On-site|San Francisco
Thinking Machines Lab brings together scientists, engineers, and innovators behind widely recognized AI products such as ChatGPT and Character.ai, as well as open-source frameworks like PyTorch, OpenAI Gym, Fairseq, and Segment Anything. The team is driven by a mission to enhance humanity through collaborative general intelligence, aiming for a future where AI adapts to individual needs and goals. Tinker, the lab’s fine-tuning API, empowers researchers and developers to customize advanced AI models for their own use cases. Tinker manages the infrastructure, allowing users to train open-weight models with their chosen datasets, algorithms, and objectives. As Tinker grows its user base and features, the team is expanding to better support the community. Role overview The Forward Deployed Engineer acts as the main point of contact for a broad range of clients, from solo developers to large organizations. This role identifies customer challenges and requirements, then translates those insights into actionable product improvements. Both customer interaction and product development responsibilities are central to this position. What you will do Triage and resolve customer issues across the full stack, including analyzing logs, reproducing failures, and tracing job executions. Develop tools, integrations, and automation to address recurring problems and speed up user support. Create and update clear documentation and practical guides based on real user experiences and implementations. Work closely with research and infrastructure teams to turn customer feedback into prioritized engineering tasks. Help shape Tinker’s product roadmap by sharing insights from daily customer interactions.
Full-time|$180K/yr - $300K/yr|On-site|New York City; San Francisco, CA
About HebbiaHebbia is an innovative AI platform tailored for investors and bankers, designed to generate alpha and unlock potential in financial markets. Founded in 2020 by George Sivulka and supported by notable investors including Peter Thiel and Andreessen Horowitz, we empower investment decisions for leading firms such as BlackRock, KKR, Carlyle, and Centerview. Our flagship product, Matrix, showcases unparalleled accuracy and speed in AI-driven analysis, trusted to manage over $30 trillion in assets worldwide.Our technology uncovers insights that are otherwise invisible, revealing hidden opportunities and expediting decision-making with unprecedented speed. We don't simply enhance workflows; we revolutionize capital deployment, risk management, and value creation across various markets.Hebbia transcends traditional tools; it serves as a competitive advantage that propels performance, alpha generation, and market leadership.The RoleAs a Forward Deployed Engineer, you will immerse yourself with Hebbia's most strategic clients, tailoring the final components of our platform to align with their unique workflows and data needs. This is a hands-on engineering position where you will write, deploy, and take ownership of production code.You will act as a critical link between Hebbia’s platform and the complexities of our customers’ environments. Collaborating closely with customer teams, you will identify their challenges and develop indispensable solutions. Insights gained will be relayed back to our engineering and product teams to enhance the overall platform.This opportunity is ideal for engineers eager to blend technical expertise with direct customer impact, witnessing the value of their code within days rather than months. The Forward Deployed Engineer team operates at the intersection of engineering and market engagement, collaborating closely with both our core engineering team and account representatives to direct deployment efforts effectively.
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.
Uplane (Y Combinator F25) seeks a Forward Deployed Software Engineer based in San Francisco. Uplane tackles inefficiencies in digital advertising by building an AI-driven system that creates high-performing ads, matches them with optimized landing pages, and manages budgets across multiple channels. The team’s goal is to unify tools and processes so companies can get more from their marketing spend. Role overview This Forward Deployed Software Engineer position blends hands-on software development with direct client interaction. The role centers on uncovering clients’ top challenges and building solutions that deliver clear results. Work in this role influences both the product and customer outcomes. Why join Uplane? Tackle significant problems in a large, evolving market Take initiative and ownership to accelerate personal growth Collaborate with a team that values ambition, humility, and teamwork What you will do Technical deployment and integration: Build and implement custom integrations and features so Uplane’s software fits smoothly into each client’s technology stack. Customer-led prototyping: Rapidly develop tailored solutions for clients, then work with the core team to fold successful prototypes into the main product. User-centric design: Apply product and design judgment to create features that address real market and customer needs. Collaboration: Work directly with client stakeholders, from technical teams to executives, to ensure solutions are practical and effective.
About Us:At Modal, we empower AI teams with a robust infrastructure. Our platform offers instant GPU access, lightning-fast container startups, and seamless storage solutions, enabling teams to effortlessly train models, execute batch jobs, and deliver low-latency inferences. Renowned companies like Suno, Lovable, and Substack trust Modal to transition from prototype to production, free from the complexities of infrastructure management.As a rapidly expanding organization with offices in NYC, SF, and Stockholm, we have achieved a remarkable 9-figure ARR and recently secured Series B funding at a valuation of $1.1B. Our thousands of clients, including Lovable, Scale AI, Substack, and Suno, depend on us for their production AI workloads.Joining Modal means becoming part of one of the fastest-growing AI infrastructure companies in its early stages, with abundant opportunities for personal and professional growth. Our diverse team comprises creators of celebrated open-source projects (e.g., Seaborn, Luigi), esteemed academic researchers, international olympiad medalists, and seasoned leaders in engineering and product development.The Role:Modal is on the lookout for a skilled Forward Deployed Engineer (FDE) to collaborate closely with our sales team and propel our technical sales initiatives. In this role, you will serve as the technical authority throughout the sales process, working in tandem with Account Executives to help enterprise clients grasp how Modal can revolutionize their AI/ML infrastructure. Key responsibilities include:Collaborate with Account Executives to pinpoint, qualify, and secure strategic enterprise opportunities.Lead technical discovery sessions with prospective clients to assess their existing infrastructure, challenges, and requirements.Craft and deliver persuasive technical solutions that illustrate how Modal meets customer needs.Design migration pathways from current cloud infrastructures (AWS, GCP, Azure) to Modal's serverless architecture.Conduct technical demonstrations, experiments, and proof-of-concept projects that highlight Modal's capabilities.Manage complex technical evaluations while addressing security, compliance, and integration challenges.Establish trusted advisor relationships with key technical stakeholders including CTOs, VPs of Engineering, and ML Engineering leads.
Join Basata: Innovating HealthcareLocation: Tempe, AZ or San Francisco, CA (in-office)At Basata, we are revolutionizing healthcare operations. Our cutting-edge AI tools streamline tedious, time-consuming tasks, allowing healthcare professionals to focus more on patient care.Our dynamic and agile team thrives on building intelligent systems and creating user-friendly experiences. If you are passionate about driving positive change in healthcare through innovative solutions, we would love to hear from you.Your Role as a Forward Deployed EngineerWe are seeking a Forward Deployed AI Engineer (Full Stack) to integrate our AI solutions within major healthcare practices, ensuring seamless operation within their daily workflows.As a full-stack software engineer with significant AI expertise, you will adapt our platform and AI agents to meet specific customer needs, integrate with EMRs and related systems, and manage production outcomes from start to finish. Your role will bridge product development, engineering, and deployment.Your contributions will significantly influence how Basata enhances AI automation across healthcare practices.Your ResponsibilitiesDeploy AI agents in pre-visit workflows at large specialty healthcare practices, ensuring reliability and a positive staff experience.Develop full-stack features that close workflow gaps—creating UI components, backend services, data pipelines, and essential integrations for successful deployments.Configure agent functionalities (prompts, tools/functions, orchestration logic, routing rules) to align with practice-specific SOPs while upholding platform standards.Take ownership of production outcomes at designated practices: focusing on accuracy, containment, latency, reliability, efficiency improvements, and ROI.Identify and resolve real-world challenges: dealing with edge cases, data discrepancies, workflow ambiguities, misroutes, or integration issues—then implement durable solutions.Create deployment playbooks: establish repeatable patterns, best practices, testing protocols, rollout strategies, and documentation to facilitate implementations across practices.Qualifications We Seek3–5+ years of software engineering experience, with a proven track record of managing production systems successfully.
The RoleJoin us as a pioneering Forward Deployed Engineer at rowspace, where you'll operate at the nexus of advanced technical expertise and impactful customer engagement. In this role, you will manage the technical aspects of customer relationships following sales, integrate seamlessly into their workflows, and design production-ready solutions tailored to their data, driving significant, quantifiable outcomes.Gain firsthand insights into the operational intricacies of investors—their complex data infrastructures, internal systems, and unique challenges. Your observations will inform platform enhancements that elevate the experience for all clients. Collaborate closely with our founders and engineering team, where your contributions will have a substantial impact as we iterate rapidly and reshape the workflows of the world’s most sophisticated investors.What You'll DoEngage directly with customers—create customized integrations and data pipelines, hold regular meetings to grasp their evolving requirements, and design and implement new workflows from inception to deployment.Analyze and optimize—troubleshoot issues related to data retrieval quality, LLM performance, and data ingestion in live production settings.Collaborate with AI Deployment Managers to enhance adoption and explore new use cases.Represent the voice of the customer—identify platform gaps and trends proactively, working alongside engineering and product teams to prioritize essential features, often implementing fixes yourself.Leverage your solutions for broader impact—transform tailored builds into scalable integrations, and develop playbooks that facilitate future customer engagements.What You Bring2–5+ years of experience as a software engineer or in a customer-facing technical role (e.g., FDE, solutions engineer/architect, implementation engineer), preferably in a company delivering direct solutions to clients.Solid technical background—proficient in Python and SQL, capable of navigating complex datasets and real-world data challenges (PDFs, Excel files, inconsistent formats).Familiarity with AI/ML concepts—understanding of RAG, embeddings, LLMs, and retrieval systems. You won't train models but will adeptly debug and optimize them.Customer-centric and results-driven—you are genuinely interested in understanding customers' systems, measuring success by the impact on their operations rather than your output.Self-starter with a builder's mentality—when challenges arise on-site with customers, you take the initiative to resolve them. You enjoy crafting solutions and thrive on figuring out problems independently.
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.
About KastleKastle is revolutionizing the consumer lending landscape by developing an AI operating system, starting with the mortgage sector. We partner with some of the largest mortgage lenders in the United States, enhancing their contact center and compliance operations through innovative AI-driven voice agents. Supported by leading investors such as Y Combinator and Commerce Ventures, along with industry veterans from Snapdocs, Google, and WePay, we are at the forefront of redefining lending with artificial intelligence.About the RoleAs a Forward Deployed Engineer, you will take on the role of technical owner and project lead for our most significant accounts. Your responsibilities will involve immersing yourself with customers, translating their business workflows into production-ready AI agents, and overseeing the customer relationship as well as the strategic roadmap.ResponsibilitiesDevelop, configure, and deploy AI agents on Kastle’s platform to manage actual borrower workflows.Write high-quality backend and full-stack code (Python, Java, TypeScript) to integrate with loan servicing systems, data sources, and telephony platforms.Oversee the complete agent development life cycle: rapidly prototype, establish CI/CD pipelines, monitor live usage, iterate towards goals, and document best practices to expedite future projects.Clarify ambiguous customer requests, quickly prototype solutions, and evolve them into stable deployments.Serve as the technical representative of Kastle for key accounts, fostering trust through speed, empathy, and tangible impact.Incorporate customer insights back into the core product, influencing the development roadmap and reusable tools.What We’re SeekingA minimum of 1 year of engineering experience, along with at least 1 year of customer-facing experience.Expertise in Python, Java, or similar languages; comfortable building APIs and backend systems.Outcome-oriented mindset: prioritizing customer value and problem-solving over perfect abstractions.A strong work ethic with exceptional attention to detail; capable of independently managing projects from start to finish.Customer-focused: confident in engaging directly with business leaders as well as engineers.Preferred QualificationsExperience in a customer-facing engineering role (forward deployed, solutions engineering, etc.).Interview ProcessInitial screening interview with HR.Technical assessment involving coding challenges and system design discussions.Final interview with team members to assess cultural fit and alignment with company values.
