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Applied AI Engineer
Pulsora · United States
About The Role
Join Pulsora as an Applied AI Engineer, where you'll design, develop, and deploy LLM-powered applications and agent-based systems in production. You'll own the full product lifecycle, build scalable systems, and ensure quality, reliability, and performance. This remote-friendly position offers competitive benefits, including health insurance, flexible time off, employee equity, retirement savings, paid parental leave, and a monthly stipend.
- Concevoir, développer et déployer des applications et des systèmes basés sur des LLM en production.
- Posséder l'ensemble du cycle de vie du produit, de la conception à la production, en passant par l'itération.
- Développer des stratégies de prompt, la gestion du contexte (RAG, mémoire) et les flux de travail des agents.
- Experience debugging production issues, optimizing performance (latency, cost), and building maintainable systems
- Experience integrating major LLM APIs (e.g., OpenAI, Anthropic, Gemini, open-source)
- Ability to take products from concept to production and iteration across backend and frontend systems, including working across the full engineering lifecycle
- 1-2 years of experience building AI-powered applications (AI agents or AI-assisted coding) and building and deploying LLM-powered applications or agents in production
- Working knowledge of prompt design, context management (RAG, memory, tool use), and multi-step/agentic workflows
- Bachelor’s degree in Computer Science, Engineering, or related field preferred (or equivalent hands on experience)
- Practical experience using tools like Claude Code, Cursor, OpenAI, Microsoft Copilot, including the ability to safely integrate AI-generated code into production (validation, CI/CD)
- Ability to define evaluation strategies for AI outputs (quality, consistency, failure modes) and experience with AI-driven testing and reliability practices
- Strong collaboration across a small team, including great communication with both onshore and offshore departments and translating vague requirements into actionable systems
- A strong problem solver who can navigate ambiguity
- Thrives outside of traditional work structures
- Comfortable with ownership, accountability, and high expectations
- A builder who cares about shipping real, working products
- Self-motivated and proactive—you create momentum without needing direction
- You own the quality of the product you build
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