I Product Engineer
Fully Remote
We are seeking a founding I Product Engineer to help our client shape their product from the ground up. You'll wear every hat - product, design and engineering - and have an outsized impact on what we build and how we build it. This is a role for someone who thrives on ambiguity, ships fast, and wants to define what an AI-native product looks like. This position is 100% remote.
Responsibilities include:
• Own AI powered features end to end - from identifying user problems to shipping polished, production ready experiences.
• Talk to users, define product requirements, and decide what's worth building next.
• Design intuitive UX flows and interfaces for AI native interactions.
• Build across the full stack - backend services, AI/LLM integrations, and frontend UI.
• Develop and refine prompts, retrieval pipelines, and agentic workflows using frontier LLMs (Claude, Gemini, GPT).
• Build evaluation frameworks to measure model quality, accuracy, caching, fallback strategies, and cost optimization.
• Help shape engineering culture, technical standards, and product direction as the team grows.
• Stay current with advances in LLMs, RAG, agents, and evaluation techniques; bring promising ideas into the product.
• Move fast, ship often, and iterate relentlessly based on user feedback.
Minimum Requirements:
• 4+ years of professional software engineering experience.
• Strong proficiency in Python and a modern web framework (FastAPI, Flask, Django, or similar).
• Frontend experience with React, TypeScript, or a comparable framework.
• Hands on experience building applications with LLM APIs (OpenAI, Anthropic, Google, or open-source models).
• Solid understanding of prompt engineering, retrieval-augmented generation (RAG), and evaluation methods.
• Strong product instincts - able to identify what's worth building and make sound UX decisions.
• High autonomy - thrives without a detailed spec or established process.
• Bias toward shipping; comfortable trading polish for speed when it matters.
Additional Requirements (Optional):
• Prior founding engineer, solo builder, or early-stage startup experience.
• Design fluency (Figma, prototyping, visual design fundamentals).
• Experience with agent frameworks, tool use, or multi-step LLM workflows.
• Familiarity with cloud platforms (GCP, AWS, or Azure) and containerized deployments.
• Background in regulated or compliance-heavy domains (FedRAMP, HIPAA, SOC 2, etc.).
