Applied AI Engineer - US
Core
Design, develop, and deploy LLM-powered applications and agent-based systems in production, owning the full product lifecycle from concept to iteration.
Role type
Applied AI Engineer (Full-stack)
Builds
AI-powered products and GenAI systems for enterprise sustainability platforms
Domain
Enterprise Sustainability / ESG / GenAI
Deliverable
production ML models | product features
Required skills
Full-stack development, LLM integration, agent workflow design, prompt engineering, RAG implementation, testing strategy, system reliability optimization
Preferred skills
AI-assisted coding tools, LangChain, LangGraph, fine-tuning, evaluation frameworks
Technologies
OpenAI, Anthropic, Gemini, Cursor, Copilot, Claude Code
Responsibilities
Design and deploy LLM-powered applications and agent-based systems; Develop prompt strategies, context management, and agent workflows; Integrate and optimize across leading LLM APIs; Own testing strategy and evaluation frameworks for AI outputs; Debug production issues and optimize for latency, cost, and scalability; Translate ambiguous requirements into working solutions
Seniority
Mid-level, hands-on IC
