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💼 Full-time🗓 2026-06-25

Core

Build and scale full-stack products and deploy reliable LLM-powered systems and agent workflows in production.

Role type

Applied AI Engineer (Full-stack)

Builds

AI-powered applications, agent-based systems, and scalable backend/frontend systems.

Domain

Generative AI, Software Engineering, Sustainability/ESG

Deliverable

production ML models | product features

Required skills

LLM API integration, prompt engineering, RAG, agent workflow design, full-stack development, AI-assisted coding, system testing, performance optimization

Preferred skills

LangChain, LangGraph, fine-tuning, evaluation frameworks, human-in-the-loop workflows

Technologies

OpenAI, Anthropic, Gemini, Cursor, Copilot, Claude Code

Responsibilities

Design and deploy LLM-powered applications, own full product lifecycle, develop prompt strategies and context management, integrate and optimize LLM APIs, validate and integrate AI-generated code, debug production issues and optimize latency/cost, define evaluation frameworks for AI outputs

Seniority

Mid-level, hands-on IC

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