Senior Customer AI Engineer - Token Factory

Added
27 days ago
Type
Full time
Salary
Salary not provided

Related skills

cloud infrastructure machine learning distributed systems ai llm

πŸ“‹ Description

  • Own the customer journey from initial proof of concept (PoC) through production deployment and
  • Ensure customer AI workloads are deployed successfully, remain stable, and scale to meet evolving
  • Accelerate time-to-production and time-to-value by identifying and addressing technical obstacles
  • Develop a thorough understanding of customer architectures, AI use cases, and infrastructure
  • Monitor and improve inference performance, including latency, throughput, resource utilization, and
  • Identify performance bottlenecks, investigate root causes, and implement practical solutions to

🎯 Requirements

  • Practical experience with AI inference frameworks such as vLLM, TensorRT, or similar technologies
  • Strong understanding of cloud infrastructure, distributed systems, or high-load applications
  • Familiarity with AI and machine learning workloads, particularly large language models (LLMs)
  • Proven ability to troubleshoot complex technical issues, investigate system behavior, identify
  • Experience working directly with technical customers, such as software engineers, machine learning
  • Excellent communication skills, with the ability to explain complex technical concepts clearly and

🎁 Benefits

  • Competitive compensation: An attractive compensation package aligned with your expertise and
  • Career growth: Opportunities to develop your technical expertise and progress professionally in a
  • Continuous learning: Exposure to advanced AI technologies, inference frameworks, and real-world
  • Remote work flexibility: Work remotely from within Europe, with the opportunity to manage your work
  • Ownership and autonomy: Take responsibility for customer outcomes and influence technical decisions
  • Collaborative culture: Work alongside talented engineers and specialists in an international
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