Senior Customer AI Engineer – Token Factory & Production Optimization Lead – Driving Enterprise AI Success, Deployment Excellence, and Customer‑Centric Innovation at brighthush

Welcome to brighthush – Where AI Meets Enterprise Scale

In a world where artificial intelligence is no longer a luxury but a strategic imperative, brighthush stands at the cutting edge of cloud‑native AI infrastructure. We empower organizations to move from experimental prototypes to production‑grade AI systems with unprecedented speed, reliability, and cost efficiency. Our platform eliminates the traditional friction points of GPU cluster management, networking, and storage, enabling data scientists and developers to focus on what matters most: building transformative AI solutions.

Why brighthush is the Destination for Forward‑Thinking Engineers

At brighthush, we don’t just build technology – we build a culture of bold experimentation, rapid iteration, and measurable impact. Our global footprint spans Europe, the UK, North America, and Israel, and we serve a diverse portfolio of clients ranging from fintech startups to Fortune 500 enterprises. With over 1,500 engineers, researchers, and product leaders, we foster cross‑disciplinary collaboration that pushes the boundaries of what’s possible in the cloud.

We champion ownership, continuous learning, and innovation. Whether you’re a seasoned engineer or an emerging talent, you’ll find opportunities to grow, experiment, and shape the future of AI at scale.

Role Overview: The Technical Bridge Between Vision and Reality

The Senior Customer AI Engineer – Token Factory & Production Optimization Lead is a pivotal role that blends engineering, delivery, and customer success. You will be the technical steward of our customers’ journey from proof‑of‑concept (PoC) to fully‑deployed, production‑grade AI workloads on the brighthush platform. Your expertise will ensure that the solutions promised during pre‑sales translate into reliable, high‑performance, and cost‑efficient deployments.

Key attributes of this role:

• Technical partner, not a sales role – you drive value and expansion through engineering excellence.
• Proactive performance champion – you anticipate and resolve bottlenecks before they impact customers.
• Operational focus – you excel at ensuring stability, scalability, and cost‑efficiency rather than designing systems from scratch.

Remote work is fully supported across Europe, giving you the flexibility to collaborate with a distributed team while maintaining a healthy work‑life balance.

Key Responsibilities

• Own the Production Journey: Guide customers from PoC to production rollout, ensuring smooth transitions and minimal downtime.
• Lead PoC to Production Transition: Translate experimental setups into scalable, production‑ready workloads, tailoring infrastructure to meet performance and cost targets.
• Ensure Deployment Stability and Scalability: Monitor and optimize latency, throughput, and resource utilization across GPU clusters and distributed services.
• Drive Time‑to‑Production and Time‑to‑Value: Implement best practices, automation, and continuous integration pipelines that accelerate delivery.
• Guarantee Technical Success: Act as the primary technical contact for production incidents, orchestrating incident response and root‑cause analysis.
• Understand Customer Architectures: Deeply analyze use cases, data pipelines, and inference workloads to recommend optimal configurations.
• Performance & Cost Optimization: Continuously monitor key metrics—latency, throughput, GPU utilization, and cost—and implement tuning strategies.
• Proactive Bottleneck Resolution: Identify performance regressions, memory leaks, or network contention before they impact customers.
• Trusted Technical Partner: Build strong relationships with customer engineering teams, providing mentorship and guidance.
• Best‑Practice Guidance: Share knowledge on inference frameworks (vLLM, TensorRT, Triton, etc.) and deployment patterns.
• Translate Challenges into Solutions: Convert complex technical issues into actionable, repeatable solutions that can be shared across the organization.
• Risk & Incident Management: Lead incident investigations, develop playbooks, and implement preventive measures.
• Continuous Improvement: Identify opportunities to enhance platform features, tooling, and documentation based on real‑world feedback.
• Feedback Loop: Provide structured, data‑driven feedback to Product and Infrastructure teams to influence roadmap decisions.
• Opportunity Identification: Spot upsell or expansion opportunities by understanding customer growth trajectories and technical needs.

Essential Qualifications

• Hands‑on Experience with Inference Frameworks: vLLM, TensorRT, Triton, or equivalent.
• Deep System Knowledge: Solid grasp of cloud or on‑prem infrastructure, distributed systems, and high‑load application patterns.
• AI/ML Workload Proficiency: Familiarity with large language models, vision models, or other inference‑heavy workloads.
• Performance Troubleshooting: Ability to diagnose and resolve latency, throughput, and resource contention issues.
• Customer‑Facing Experience: Proven track record of working directly with engineering or ML teams in a technical capacity.
• Communication Skills: Clear articulation of complex concepts to both technical and non‑technical stakeholders.
• Ownership Mindset: Demonstrated ability to drive outcomes, manage multiple priorities, and deliver results under pressure.
• Structured Problem‑Solving: Proactive, solution‑oriented approach to incident management and continuous improvement.

Preferred Qualifications

• Experience with GPU‑accelerated workloads and AI infrastructure management.
• Background in solutions engineering, site reliability engineering (SRE), or technical support within B2B environments.
• Knowledge of Kubernetes, Docker, and CI/CD pipelines for AI deployments.
• Familiarity with cloud cost‑management tools and optimization strategies.
• Experience with monitoring and observability platforms (Prometheus, Grafana, Datadog).

Skills & Competencies

• Advanced knowledge of GPU architecture and memory management.
• Expertise in distributed inference frameworks and model serving.
• Strong analytical skills with the ability to interpret performance metrics.
• Excellent stakeholder management and cross‑functional collaboration.
• Adaptability to fast‑changing environments and evolving customer needs.
• Commitment to continuous learning and staying abreast of AI/ML trends.

Career Growth & Learning Opportunities

At brighthush, your career trajectory is shaped by the impact you deliver. We offer:

• Mentorship from senior engineers and product leaders.
• Access to cutting‑edge research labs and internal hackathons.
• Opportunities to contribute to open‑source projects and industry standards.
• Clear promotion paths into technical leadership, product management, or platform architecture.
• Regular training programs on emerging AI technologies, cloud security, and system design.

Work Environment & Culture

Our culture is built on:

• Fast‑moving Innovation: Rapid iteration cycles and a bias toward action.
• Bold Thinking: Encouragement to challenge the status quo and propose daring solutions.
• Meaningful Impact: Your work directly influences how enterprises deploy AI at scale.
• Trust & Ownership: Empowered teams with autonomy to make decisions.
• Collaborative Spirit: Cross‑functional teams that celebrate shared successes.
• Inclusive Environment: Diversity of thought, background, and experience is valued.

Compensation & Benefits

While specific figures vary by location and experience, brighthush offers a competitive total rewards package that includes:

• Base salary commensurate with market rates for senior AI engineering roles.
• Performance‑based bonuses and equity options to share in the company’s growth.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off, including vacation, sick leave, and personal days.
• Flexible work arrangements with full remote support across Europe.
• Professional development budget for conferences, courses, and certifications.
• Wellness programs, including gym memberships and mental health resources.
• Team‑building events, hackathons, and community outreach initiatives.

How to Apply

If you’re ready to take ownership of customer success, drive production excellence, and shape the future of AI infrastructure, we’d love to hear from you. Submit your application through our careers portal or reach out directly to our recruiting team. We’re excited to explore how your expertise can help our customers thrive on the brighthush platform.

Equal Opportunity Statement

brighthush is an equal‑opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, or any other protected status.