AI Product Engineer
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Job Description
AI Product Engineer responsible for shaping product development at Emagine IT. Engaging with users and building features across the product stack in a fully remote capacity.
Responsibilities:
- 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.
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.
Benefits:
- AAP/E EO Statement Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
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