Neurons Lab
51 - 200 employees
💰 Corporate Round on 2022-10
Neurons Lab is a globally distributed AI R&D company that helps deep tech innovators to accelerate data-driven products development and launch. Our team has expertise in fundamental sciences, full-stack AI/ML engineering, and product design. Such a rare combination and access to scarce talent allows Neurons Lab to build disruptive solutions for clients in HealthTech and EnergyTech industries. Neurons Lab operates within a proprietary delivery framework that is tailored to the innovation environment: fierce competition, tight timelines, little-to-none datasets, and the necessity to generate novel solutions.
Technical AI Engagement Lead
Job not on LinkedIn
🔥 0 minutes ago
🗣️🇷🇺 Russian Required
🗣️🇺🇦 Ukrainian Required
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Neurons Lab
51 - 200 employees
💰 Corporate Round on 2022-10
Neurons Lab is a globally distributed AI R&D company that helps deep tech innovators to accelerate data-driven products development and launch. Our team has expertise in fundamental sciences, full-stack AI/ML engineering, and product design. Such a rare combination and access to scarce talent allows Neurons Lab to build disruptive solutions for clients in HealthTech and EnergyTech industries. Neurons Lab operates within a proprietary delivery framework that is tailored to the innovation environment: fierce competition, tight timelines, little-to-none datasets, and the necessity to generate novel solutions.
📋 Description
• Own the engineering enablement track of the AI Adoption Program • Cascade CTO's vision into engineering teams • Validate direction and risks of working practices • Run bi-weekly validation calls with active teams • Teach teams to define objective, numeric success criteria • Collaborate with cloud team on cost optimization and AWS credits • Capture reusable knowledge in a group knowledge base
🎯 Requirements
• Hands-on daily fluency with agentic coding stacks: Claude Code, Cursor, Codex • AI architecture: LLM gateways/proxies (LiteLLM / OpenRouter class) • Engineering-leadership credibility at tech-lead / AI-architect / head-of-engineering level • Facilitation of technical sessions: live demos, validation calls, hands-on workshops • Packaging: turning a working practice into an artifact another team adopts without the author in the room • Engineering measurement in the AI era: DX Core 4 / DORA, AI-impact metrics • Adoption psychology for senior engineers • Game development / iGaming exposure (nice to have)
🏖️ Benefits
• Health insurance • Professional development
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