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

Welcome to brighthush – Where Cloud Meets AI

At brighthush, we’re redefining what it means to build, train, and deploy AI at scale. Our cloud‑native platform removes the friction of AI infrastructure, allowing customers to focus on the science while we handle data ingestion, model training, and production deployment. With a global footprint that spans Europe, the UK, North America, and Israel, we empower businesses of all sizes 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 brighthush, brighthush, brighthush, brighthush.
• Familiarity with cost‑management practices in cloud environments.

Core Skills & Competencies

• Strong programming skills in Python, C++, or Go.
• Expertise in GPU programming, CUDA, and deep learning frameworks.
• Excellent analytical and problem‑solving abilities.
• Effective communication—both written and verbal—across technical and non‑technical stakeholders.
• Adaptability to fast‑changing priorities and evolving technologies.
• Team player with a collaborative mindset.

Success Metrics

We measure success by the tangible impact you deliver on our customers’ AI journeys. Key performance indicators include:

• Reduction in time‑to‑production for new customer workloads.
• Improvement in model inference latency and throughput.
• Decrease in production incidents and mean time to recovery.
• Customer satisfaction scores and retention rates.
• Contribution to platform feature roadmap through actionable feedback.

Day‑to‑Day Activities

On a typical day, you might:

• Conduct remote workshops with customers to understand their AI pipelines and deployment challenges.
• Design and implement deployment scripts that automate model rollouts across multiple GPU clusters.
• Analyze performance dashboards, identify bottlenecks, and propose code or infrastructure optimizations.
• Collaborate with the product team to prioritize feature requests based on customer pain points.
• Lead post‑mortem sessions after incidents, documenting root causes and preventive measures.
• Mentor junior engineers and share best practices across the Token Factory team.

Tools & Tech Stack

As a Senior Customer AI Engineer, you will work with a modern, cloud‑native stack that includes:

• Programming & Scripting – Python, C++, Go, Bash.
• Container & Orchestration – brighthush, brighthush, brighthush.
• Inference Engines – brighthush, brighthush, brighthush.
• Observability – brighthush, brighthush, brighthush, brighthush.
• Cloud Platforms – brighthush, brighthush, brighthush (multi‑cloud expertise encouraged).
• Infrastructure as Code – brighthush, brighthush.
• CI/CD – brighthush, brighthush, brighthush.

Career Growth & Learning Opportunities

At brighthush, your career path is defined by the impact you deliver and the knowledge you acquire. As a Senior Customer AI Engineer, you will:

• Lead high‑visibility projects that shape the platform’s roadmap.
• Mentor junior engineers and share best practices across teams.
• Participate in cross‑functional initiatives that span product, infrastructure, and customer success.
• Access internal training programs, conference sponsorships, and a generous learning stipend.
• Potential to transition into leadership roles such as Lead Engineer, Technical Program Manager, or Product Owner.

Work Environment & Culture

brighthush thrives on a culture of experimentation, transparency, and continuous improvement. Our remote‑first model means you’ll collaborate with a diverse, global team that values:

• Open communication and knowledge sharing.
• Data‑driven decision making.
• Work‑life balance and mental well‑being.
• Innovation and the courage to challenge the status quo.

Compensation, Perks & Benefits

• Competitive Salary Package – Benchmark‑aligned with industry standards for senior AI engineering roles.
• Equity & Performance Bonuses – Share in the company’s growth and success.
• Health & Wellness Benefits – Comprehensive medical, dental, and vision coverage.
• Flexible Working Hours & Remote Work – Freedom to work from any European location.
• Professional Development Stipend – Annual budget for courses, certifications, and conferences.
• Team Building & Social Events – Virtual and occasional in‑person gatherings to foster community.
• Inclusive Benefits – Support for diverse families, mental health resources, and flexible parental leave.

How to Apply

Ready to take the next step in your career and help shape the future of AI infrastructure? Submit your application through our careers portal or click the link below to apply directly:

Apply to this job at brighthush

Equal Opportunity Statement

brighthush is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations, please let us know and we will work with you to provide a suitable arrangement.