ml engineer in operational automation

Описание: The company is a high-growth investment and transformation firm that acquires established businesses and modernises them through advanced AI integration, turning legacy operational complexity into high-margin product value. Задачи: Build and deploy end-to-end AI systems, including LLMs, agents, and RAG, to automate complex operational workflows; Partner with internal teams to convert messy legacy data into production-grade automation that increases throughput and reduces costs; Balance frontier AI capabilities with speed, simplicity, latency, cost, and reliability requirements; Work across the full stack using Python to ship scalable, AI-powered solutions. Требования: Deep experience in production AI design, including agentic workflows, model evaluation, and structured outputs; Strong track record of shipping software that delivered tangible business or operational outcomes; Expert Python skills; Ability to balance technical depth with pragmatic trade-offs involving accuracy, cost, and user experience; Nice to have: Go, TypeScript, modern vector/ML infrastructure. Условия: 4-Stage interview process focused on technical ability, product intuition, and team alignment.