APIs AI Jobs

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As the first US based Forward Deployed Engineer at Haast, you will act as the technical bridge between the product vision and customer needs. You will work as a full-stack engineer responsible for designing, architecting, and shipping full-stack features that solve customers' compliance challenges. Your role involves ownership of end-to-end technical decisions, including designing systems, shipping to production, and iterating on features based on direct customer interaction. You will maintain the technical relationship with key customers by implementing solutions, gathering requirements, and translating feedback into product improvements. Additionally, you will build scalable services and APIs for the LLM compliance platform with a focus on customer experience, make high-impact technical decisions aligned with engineering standards and customer needs, question assumptions about product development, and influence the product roadmap and engineering practices as the company scales from Series A to market leadership.

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Design, architect, and ship full-stack features that directly solve customers' compliance challenges. Own the technical relationship with key customers by implementing solutions, gathering requirements, and translating feedback into product improvements. Build scalable services and APIs that power the LLM compliance platform while prioritizing the customer experience. Make high-impact technical decisions quickly, accountable to engineering standards and customers. Challenge assumptions about product development and influence what is built and how. Shape the product roadmap and engineering practices during the scale from Series A to market leadership. Split time between building code and engaging with customers, understanding pain points, iterating on features in real-time, and shaping product direction. Own end-to-end technical decisions: designing systems, shipping to production, and iterating based on customer interaction. Collaborate directly with the founding team and have influence over architecture and product roadmap.

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As a Customer Engineer, Agent Builder, you will be responsible for the end-to-end execution of AI agent builds for enterprise customers, from initial scoping through launch and iteration. You will write and maintain key agent-building artifacts (e.g., AOPs), and configure agent behavior to optimize quality, reliability, and business outcomes. You will configure and validate guardrails to ensure safe, compliant, and predictable agent performance across real-world scenarios. You will set up, test, and validate customer integrations such as ticketing systems, including building tools and workflows needed for successful deployments. You will interface with senior technical stakeholders at customers to define success criteria, gather requirements, and drive delivery against timelines. Additionally, you will translate customer needs into clear internal documentation and run tight feedback loops with Engineering to drive platform improvements, partnering closely with APMs, Engineering, Design, and Go-To-Market teams to deliver consistent, repeatable, best-in-class agent builds.

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As a Forward Deployed Engineer - Agents, you will lead the end-to-end implementation of AI Virtual Agents and CX automation workflows for customers, owning the entire process from discovery and scoping through launch and optimization. Responsibilities include configuring agent workflows, decision logic, and automation behaviors to maximize accuracy, reliability, and business outcomes; implementing guardrails and validation frameworks to ensure safe, compliant, and predictable agent performance; building, testing, and validating integrations with enterprise systems such as CRM, ticketing, telephony, and data platforms; partnering with customer technical stakeholders to define success criteria, gather requirements, and deliver against timelines; translating customer needs into clear implementation plans and documentation; running tight feedback loops with Engineering and Product to improve platform capabilities; and collaborating with Product, Engineering, Design, and GTM teams to deliver repeatable, best-in-class deployments.

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As a deployment engineer at WRITER, the responsibilities include partnering deeply with enterprise customers to identify strategic AI use cases, validating technical feasibility, and owning the end-to-end implementation of tailored solutions. The role involves architecting and delivering custom applications, templates, and integrations leveraging WRITER's platform, APIs, and Knowledge Graph capabilities to solve complex business challenges. Translating intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations and guiding customers through the generative AI landscape is also required. The engineer collaborates with internal Product and Engineering teams, providing crucial customer feedback influencing the product roadmap and driving continuous innovation. Additionally, they develop scalable processes, robust documentation, and efficient workflows for technical integrations, and champion the successful adoption and expansion of WRITER's AI solutions within customer accounts to ensure maximum impact and return on investment.

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Drive strategic technical discovery with Fortune 500 prospects and customers, translating complex business challenges into clear, impactful technical solutions for AI-powered work. Architect and design robust, scalable, and secure generative AI solutions for enterprise clients, leveraging WRITER's platform, APIs, and custom applications to solve critical business problems. Lead the development and execution of compelling proofs of concept (PoCs) and demonstrations, building custom templates and integrating WRITER's capabilities to showcase transformative value and accelerate time-to-value for customers. Serve as a trusted technical advisor to C-suite executives, VPs of Engineering, and AI leaders, guiding their generative AI strategy and collaborating to define enterprise-level architecture roadmaps. Partner closely with WRITER's product and engineering teams, providing critical feedback from customer engagements to influence the product roadmap and ensure solutions meet evolving market needs. Champion the adoption of WRITER's platform and APIs, educating prospects and partners on the art of the possible with generative AI and empowering them to build their own innovative solutions.

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Design, architect, and operate scalable services and APIs that power the LLM compliance platform. Architect how AI insights are surfaced to users, ensuring the system is robust, fast, and intuitive. Make high-impact technical decisions quickly. Challenge "why" and "how" to ensure delivery of the best possible experience for users. Shape engineering culture, standards, and tooling as the company grows. Own end-to-end technical decisions including designing systems, architecting solutions, shipping to production, and iterating based on customer feedback.

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Build and maintain infrastructure for large-scale model training and experimentation. Design APIs and interfaces to simplify complex training workflows and prevent misuse. Improve reliability, debuggability, and performance of training and data pipelines. Debug issues across technologies including Python, PyTorch, distributed systems, GPUs, networking, and storage. Write tests, benchmarks, and diagnostics to detect significant regressions.

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Forward Deployed Engineers are responsible for owning customer deployments from technical build through go-live and optimization, acting as the technical owner for health system implementations. They work directly with customers to build, configure, and deploy production AI agents tailored to healthcare workflows. Their responsibilities include shipping production AI agents by owning implementations end-to-end for health systems, building custom integrations with complex healthcare platforms, designing intelligent workflows tailored to customer specialties and operational constraints, launching agents handling thousands of patient interactions daily, solving complex technical problems by debugging integration issues across phone systems, EHRs, scheduling platforms, and patient engagement tools, architecting solutions for healthcare complexities such as insurance verification and appointment rules, building tooling and automation to improve future implementations, optimizing agent performance using real-world data and customer feedback, shaping the product by partnering with Product Engineering to influence platform direction based on field learnings, identifying patterns for new product features, working with Sales to scope technical requirements and demo capabilities, and acting as the voice of the customer to inform what works, what doesn't, and customer needs.

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Partner deeply with enterprise customers to identify strategic AI use cases, validate technical feasibility, and own the end-to-end implementation of tailored solutions. Architect and deliver custom applications, templates, and integrations leveraging WRITER's platform, APIs, and Knowledge Graph capabilities to solve complex business challenges. Translate intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations, guiding customers through the generative AI landscape. Collaborate relentlessly with internal Product and Engineering teams, providing crucial customer feedback that directly influences the product roadmap and drives continuous innovation. Develop scalable processes, robust documentation, and efficient workflows for technical integrations to drive down customer time-to-value. Champion the successful adoption and expansion of WRITER's AI solutions within customer accounts to ensure maximum impact and return on investment.