Senior Customer AI Engineer – Token Factory Specialist – Driving Production‑Ready AI Deployments at brighthush

About brighthush

brighthush is at the forefront of the next generation of cloud infrastructure designed specifically for the global AI economy. Our mission is to empower developers and enterprises to build, train, and deploy large‑scale AI models without the overhead of managing complex, costly in‑house infrastructure. By delivering a fully integrated AI cloud platform that spans data ingestion, model training, inference optimization, and production deployment, we eliminate the friction that traditionally slows AI adoption.

Founded by engineers for engineers, brighthush tackles the hardest challenges in GPU orchestration, distributed systems, storage, networking, and applied AI. Our platform is engineered to scale from a single proof‑of‑concept to millions of inference requests per second, all while maintaining cost efficiency and reliability.

With a global footprint that includes research and development hubs in Europe, the United Kingdom, North America, and Israel, brighthush employs over 1,500 professionals—hundreds of whom are seasoned engineers with deep expertise in hardware, software, and AI research. We are listed on Nasdaq (NBIS) and are rapidly expanding our reach across the world.

Role Overview

We are seeking an experienced Senior Customer AI Engineer to join our Token Factory team. In this hybrid role, you will bridge engineering, delivery, and customer success to ensure that our customers transition smoothly from proof‑of‑concept to production, scaling their AI workloads on the brighthush platform.

As a key technical partner, you will collaborate closely with customer engineering teams, Solution Architects, and our Product & Infrastructure squads to deliver stable, high‑performance, and cost‑effective AI deployments. This is not a sales, pure support, or solution‑architect role; it is a strategic, execution‑focused position that drives tangible outcomes for our customers.

Remote work is supported across Europe, allowing you to collaborate with a distributed team while staying connected to our vibrant, collaborative culture.

Key Responsibilities

Own the Production Journey

• Lead the end‑to‑end transition of customer projects from PoC to fully operational production environments.
• Define and enforce best‑practice deployment pipelines that guarantee reliability, scalability, and performance.
• Measure and accelerate time‑to‑production and time‑to‑value metrics, ensuring customers realize ROI as quickly as possible.

Ensure Technical Success in Production

• Deeply understand customer architectures, use cases, and business objectives.
• Continuously monitor key performance indicators—latency, throughput, cost per inference, and uptime—and implement proactive optimizations.
• Identify bottlenecks, root‑cause issues, and recommend architectural or configuration changes that improve overall system health.

Act as a Trusted Technical Partner

• Serve as the primary technical liaison for customer engineering teams, providing guidance on best practices, security, and compliance.
• Translate complex technical challenges into actionable, customer‑centric solutions that align with business goals.
• Facilitate knowledge transfer sessions, workshops, and training to empower customers to manage their own deployments.

Manage Risks and Incidents

• Act as the first point of contact for production incidents, coordinating rapid response across internal teams.
• Own incident post‑mortems, documenting lessons learned and driving continuous improvement.
• Communicate clearly and calmly during high‑pressure situations, ensuring stakeholders are informed and expectations are managed.

Drive Continuous Improvement

• Identify opportunities to optimize resource utilization, reduce costs, and expand usage across customer portfolios.
• Provide structured, data‑driven feedback to Product & Infrastructure teams, influencing roadmap decisions.
• Help shape new features and services that better meet real‑world customer needs.

Essential Qualifications

• Technical Expertise: Hands‑on experience with inference frameworks such as vLLM, TensorRT, or equivalent.
• Systems Knowledge: Deep understanding of cloud or on‑prem infrastructure, distributed systems, and high‑load application design.
• AI/ML Workloads: Familiarity with large language models, inference pipelines, and performance tuning.
• Problem‑Solving: Proven ability to troubleshoot complex performance issues and architect scalable solutions.
• Customer‑Facing Experience: Demonstrated success working directly with technical customers—engineers, ML teams, or data scientists.
• Communication: Ability to explain intricate technical concepts to both technical and non‑technical audiences.
• Ownership & Execution: Strong sense of ownership, proactive mindset, and the ability to manage multiple priorities simultaneously.

Preferred Qualifications

• Experience with GPU‑accelerated workloads or AI infrastructure at scale.
• Background in solutions engineering, site reliability engineering, or technical support within B2B environments.
• Knowledge of container orchestration (Kubernetes), CI/CD pipelines, and cloud native tooling.
• Familiarity with cost‑optimization strategies for GPU clusters and inference services.
• Experience mentoring junior engineers or leading technical workshops.

Skills & Competencies

• Strong analytical and quantitative skills, with the ability to interpret performance metrics and logs.
• Excellent project management and organizational abilities.
• Adaptability to fast‑changing environments and evolving customer needs.
• Collaborative mindset that thrives in cross‑functional teams.
• Commitment to continuous learning—staying current with AI research, cloud technologies, and industry best practices.

Career Growth & Learning Opportunities

At brighthush, your professional development is a top priority. You will have access to:

• Mentorship from senior engineers and product leaders.
• Regular technical workshops, hackathons, and knowledge‑sharing sessions.
• Opportunities to contribute to open‑source projects and industry standards.
• Clear career pathways—from Senior Engineer to Lead Engineer, Principal Engineer, or Technical Program Manager.
• Support for certifications, conferences, and advanced training in AI, cloud, and distributed systems.

Work Environment & Culture at brighthush

Our culture is built on the pillars of innovation, ownership, and impact. You will experience:

• A fast‑moving, agile environment where ideas are quickly prototyped and tested.
• Bold thinking that encourages experimentation and calculated risk‑taking.
• Transparent communication across all levels, fostering trust and collaboration.
• Opportunities to shape the future of AI infrastructure and influence product direction.
• An international, diverse team that values different perspectives and promotes inclusion.

Compensation & Benefits

While specific figures vary by role and location, brighthush offers a competitive compensation package that includes:

• Base salary commensurate with experience and market standards.
• Performance‑based bonuses and equity options that align your success with the company’s growth.
• Comprehensive health, dental, and vision insurance plans.
• Generous paid time off, parental leave, and flexible work arrangements.
• Continuous learning stipend and access to industry conferences.
• Well‑being programs, including mental health resources and wellness initiatives.

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 view the full job posting and 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 during the application process, please let us know.