APIs AI Jobs

View detail

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.

View detail

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.

View detail

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.

View detail

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.

View detail

The Sales Enablement Systems Lead is responsible for reinventing how ElevenLabs manages, organizes, and delivers internal knowledge to Sales teams. The role includes auditing and mapping current content across multiple platforms, designing a unified content architecture, creating governance frameworks for content management, and building a single source of truth for sales teams. The lead will own and evolve LMS and internal knowledge systems, evaluate and implement modern content management tools, build integrations connecting content systems to seller workflows, and design personalized learning paths. They will build and deploy AI-powered sales agents, contribute to GTM agent swarm strategy, design agents for seller support, and use ElevenLabs' voice and agent technology for enablement. The role involves defining "Agentic Enablement," building AI coaching tools, and creating systems for auto-updating content. Coordination across Product Marketing, Company Ops, and RevOps for knowledge management alignment is required. Success metrics include tracking content freshness, usage, findability, time-to-answer, building dashboards for system health, and continuously improving content and agent performance. The role also involves documenting best practices and influencing the evolution of the systems function as Sales Enablement scales.

View detail

Own 0→1 and 1→n builds of voice AI systems in real-world environments. Write and ship production-grade code across backend and integrations using languages such as Python and JavaScript. Design and implement custom workflows, automations, and full-stack systems on top of Retell. Work directly with customers to understand problems, prototype solutions, and deploy quickly. Make product and architectural decisions in ambiguous, fast-moving environments. Identify gaps in the platform and build or extend internal tools to solve them. Translate real-world usage into product improvements and new features. Move quickly from idea to prototype to production with minimal oversight.

View detail

Partner deeply with enterprise customers to identify strategic AI use cases, validating technical feasibility and owning 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; drive down customer time-to-value by developing scalable processes, robust documentation, and efficient workflows for technical integrations; champion the successful adoption and expansion of WRITER's AI solutions within customer accounts, ensuring maximum impact and return on investment.

View detail

As a deployment engineer at WRITER, you will partner deeply with enterprise customers to identify strategic AI use cases, validate technical feasibility, and own the end-to-end implementation of tailored AI solutions. You will architect and deliver custom applications, templates, and integrations leveraging WRITER's platform, APIs, and Knowledge Graph capabilities to solve complex business challenges. You are expected to translate intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations, guiding customers through the generative AI landscape. You will collaborate closely with internal product and engineering teams, providing crucial customer feedback that influences the product roadmap and drives continuous innovation. You will develop scalable processes, robust documentation, and efficient workflows for technical integrations to drive down customer time-to-value. Additionally, you will champion the successful adoption and expansion of WRITER's AI solutions within customer accounts to ensure maximum impact and return on investment.

View detail

The AI Implementation Manager is responsible for owning the delivery and stabilization of Ema's agentic AI solutions from commitment through production rollout and steady state. Responsibilities include end-to-end AI delivery ownership, ensuring solutions align with Ema's agentic architecture and platform capabilities, developing a deep understanding of customer business processes to translate workflows into feasible agentic AI workflows, providing delivery-focused technical oversight to anticipate implementation issues, acting as the primary delivery point of contact for customer business and IT stakeholders, coordinating across Engineering, Product, Data, Infrastructure, and Value Engineering teams, managing delivery under pressure by coaching stakeholders, communicating delivery progress, risks, and decisions clearly, tracking success through adoption signals and outcome-adjacent metrics, and providing day-to-day delivery leadership and mentorship to promote shared standards and delivery discipline.

View detail

The GTM Engineer is responsible for building internal systems that power how the company identifies demand, engages buying groups, accelerates deals, and scales revenue. This includes designing and shipping signal infrastructure, agent workflows, and orchestration tooling that convert GTM data into automated actions such as account intelligence, buying-stage detection, SDR alerts, personalization, and deal acceleration. Specific tasks include building GTM signal infrastructure to score ICP fit, map buying committees, and track engagement across accounts; capturing intent and engagement signals at scale; detecting buying stages and deal health; orchestrating automated GTM actions based on live engagement signals; building internal tooling and agent workflows to automate manual GTM workflows; partnering with marketing, sales, and revenue operations to translate GTM strategy into scalable automation systems; and maintaining data quality and governance across GTM systems.