Remote Position

Senior Customer AI Engineer – Token Factory & Production Excellence Lead – Remote (Europe) – Championing AI Deployment, Customer Success, and Platform Innovation at brighthush

🌍 Remote · United States 💼 Full-time
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Welcome to brighthush – Where Cloud Meets AI

At brighthush, we are on a mission to make AI accessible, reliable, and cost‑effective for every organization, no matter its size. Our cloud‑native platform eliminates the traditional friction of AI infrastructure, letting customers focus on the science while we handle data ingestion, model training, and production deployment. With a presence that spans Europe, the UK, North America, and Israel, we empower businesses across industries to democratize AI and unlock new value streams.

Why Join brighthush?

  • Impact‑Driven Culture – Every line of code you write, every deployment you manage, directly influences the success of our customers and the evolution of the AI ecosystem.
  • Full Ownership – From concept to production, you’ll own the entire customer journey and see the tangible results of your work.
  • Remote‑First, Europe‑Centric – Work from anywhere in Europe with flexible hours and a distributed team that values collaboration over hierarchy.
  • Career Growth & Learning – We invest heavily in professional development, mentorship, and cross‑functional projects that broaden your skill set.
  • Inclusive & Diverse – Diversity, equity, and inclusion are core to our values. We celebrate different perspectives and empower every team member to thrive.

About the Token Factory

The Token Factory is brighthush’s flagship product that transforms raw data into high‑value AI tokens. It orchestrates data pipelines, model training, and inference at scale, enabling customers to deploy AI workloads that are both performant and cost‑efficient. As a Senior Customer AI Engineer on this team, you will be the linchpin between our cutting‑edge platform and the customers who rely on it to power mission‑critical AI services.

Role Overview

In this hybrid role of engineering, delivery, and customer success, you will translate pre‑sales promises into stable, scalable, and cost‑efficient production deployments. You will collaborate with customer engineering teams, solution architects, and product/infrastructure engineers to deliver high‑quality, high‑performance AI services. Your deep technical expertise, proactive problem‑solving, and clear communication will be essential to driving customer success and platform evolution.

Key Responsibilities

  • Own the Production Journey – Lead the transition from PoC to production, ensuring seamless handover and continuous improvement.
  • Deploy, Stabilize, and Scale Workloads – Work with customers to deploy AI models, monitor performance, and scale resources to meet demand.
  • Accelerate Time‑to‑Production & Time‑to‑Value – Reduce friction in deployment pipelines and accelerate the delivery of business value.
  • Performance & Cost Optimization – Continuously monitor latency, throughput, and cost metrics; identify bottlenecks and implement optimizations.
  • Risk & Incident Management – Act as the primary technical contact for production incidents, coordinate with internal teams, and drive post‑mortem analyses.
  • Customer Advocacy – Serve as a trusted technical partner, translating complex challenges into actionable solutions and best‑practice guidance.
  • Feedback Loop – Provide structured, data‑driven feedback to product and infrastructure teams to shape future platform enhancements.
  • Continuous Improvement – Identify opportunities to optimize usage, expand capabilities, and improve overall customer experience.

Essential Qualifications

  • Technical Background – Hands‑on experience with inference frameworks such as brighthush, brighthush, or equivalent.
  • Deep Understanding of Cloud & Infrastructure Systems – Familiarity with distributed systems, high‑load application architectures, and AI/ML workloads (LLMs, inference pipelines).
  • Performance Troubleshooting – Proven ability to diagnose and resolve system performance issues, from code‑level bottlenecks to infrastructure constraints.
  • Customer‑Facing Experience – Demonstrated success working directly with technical customers (engineers, ML teams) and communicating complex concepts clearly.
  • Ownership & Execution Mindset – Strong sense of ownership, proactive problem‑solving, and the ability to manage multiple customers and priorities simultaneously.
  • Remote Collaboration – Comfortable working in a fully remote, distributed environment with teams across Europe.

Preferred Qualifications

  • Experience with GPU‑accelerated workloads or AI infrastructure at scale.
  • Background in solutions engineering, site reliability engineering (SRE), or technical support in B2B environments.
  • Knowledge of brighthush, brighthush, and brighthush tooling.
  • Experience with monitoring and observability tools such as Apply for this job
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