Technical Staff AI Engineer
# Technical Staff AI Engineer **Warmly** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 💰 **Компенсация:** `$200,000 – $225,000` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[AI-Engineering]` `[Machine-Learning-Engineering]` `[Software-Engineer]` `[Backend-Development]` `[Generative-AI]` `[Staff-AI-Engineer]` `[Staff-AI-Software-Engineer]` `[Staff-Applied-AI-Engineer]` `[Staff-ML-Engineer]` `[Staff-AI-Engineering]` `[Staff-AI-ML-Engineering]` `[Staff-Machine-Learning-Engineer]` --- ### About the Role About Warmly Warmly is a fast-growing Series A company backed by Y-Combinator, Felicis, and Sequoia, with a high-velocity, transparent, and data-driven work culture. Our AI sales platform saves hundreds of hours/week for sales teams while helping our customers achieve their mission faster. We are scaling from $3M to $10M in ARR and 250 to 500 customers in advance of a Series B. We foster a work environment where ideas are encouraged, experiments thrive, and individuals take ownership to drive impact. We are looking for a Staff AI Engineer to lead the architectural evolution of our Inbound, Outbound, and Signal Agents. You will be responsible for turning raw intent signals into high-conversion pipeline through LLM-driven reasoning, advanced identity resolution, and seamless workflow automation. What You’ll Build - Autonomous Inbound Agents: Lead the development of AI agents that don't just "chat," but identify, qualify, and route leads using our proprietary Inbound Identity graph. - Signal Intelligence: Architect the data pipelines that ingest millions of signals to determine "Strategic/Executive Value" for our customers. - LLM Ops & Scalability: Build the infrastructure to move from "prompt engineering" to "agentic reasoning," ensuring our AI is reliable, cost-efficient, and fast enough for real-time web traffic. - Data Room Ready Engineering: Maintain rigorous documentation and clean architecture, ensuring our tech stack is a "plug-and-play" asset for our Series B due diligence. Tech stack: - Backend: TypeScript, Node.js, GraphQL, tRPC - Infrastructure: PostgreSQL, Redis, Elasticsearch, Google Cloud Platform, Kubernetes, Docker - Third-party Integrations: Salesforce, Hubspot, Pipedrive, Outreach, Apollo, Slack - Experience with TypeScript - Experience with Node.js - Experience with React - Experience with PostgreSQL, Redis Who You Are - The 10x Architect: You have a track record of taking AI products from 0 to 1 and then scaling them to 100. You understand that "Growth at all costs" is dead—you build for unit economic efficiency. - Technical Depth: Expert in Python, TypeScript, and the modern AI stack (LangChain/LlamaIndex, Vector DBs, OpenAI/Anthropic APIs). - Product-Minded: You don't just build features; you solve problems for our core personas— Marketing, Sales, and RevOps . - Lean & Mean Mindset: You are excited about the challenge of a high-performance, consolidated team and thrive in an environment where speed-to-market is the primary metric. - 8+ years of experience Why Warmly ? - Proven PMF: Our top champions are already buying for Inbound Identity . You are joining a rocket ship that already has its trajectory set. - Series B Readiness: We are sharpening our tools and our team to dominate the market. You will have a seat at the table as we scale the engineering org. - Equity & Impact: High-leverage role with significant equity upside as we prepare for our next major milestone. Originally posted on Himalayas
- AI-Engineering
- Machine-Learning-Engineering
- Software-Engineer
- Backend-Development
- Generative-AI
- Staff-AI-Engineer
- Staff-AI-Software-Engineer
- Staff-Applied-AI-Engineer
- Staff-ML-Engineer
- Staff-AI-Engineering
- Staff-AI-ML-Engineering
- Staff-Machine-Learning-Engineer
Наблюдалась 2026-10-03, впервые 2026-10-03, источник — Himalayas (JSON API).