AI Infrastructure Engineer

Intercom
Berlin, Dublin, London
Workplace: HybridFull timeFunction: DevOps, Cloud & InfrastructureExperience: 5+ yearsEducation: bachelorsSkills: ["Python","Ruby","Java","Go","CUDA","Triton","Kubernetes","Distributed training"]

Senior+ AI Infrastructure Engineers to build, train, and serve Intercom’s next generation AI products. You’ll work on training pipelines, low-latency inference services, GPU-focused optimization, and collaborate with ML scientists, while mentoring teammates and raising the bar for reliability and operational excellence in Intercom’s AI platform.

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FursaFursa
Intercom
Intercom
5 months ago

AI Infrastructure Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Senior+ AI Infrastructure Engineers to build, train, and serve Intercom’s next generation AI products. You’ll work on training pipelines, low-latency inference services, GPU-focused optimization, and collaborate with ML scientists, while mentoring teammates and raising the bar for reliability and operational excellence in Intercom’s AI platform.
Location: Berlin, Dublin, London
Workplace: Hybrid
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Sr. Manager level

Key Responsibilities

  • •Implement and scale training pipelines for large transformer and LLM models from data ingestion through distributed training and evaluation.
  • •Build and optimize inference services with low-latency, high-reliability experiences including autoscaling, routing, and fallbacks.
  • •Work on GPU-level performance: tuning kernels, improving utilization, and identifying bottlenecks across training and inference stack.
  • •Collaborate with ML scientists to implement cutting edge training and inference methods and bring them to production.
  • •Play an active role in hiring, mentoring, and developing other engineers on the team.

Pay and Benefits

Perks:Health InsuranceDentalPensionEquityLife Insurance

Key Requirements

  • •5+ years of experience in software engineering with a track record of shipping high-quality products or platforms
  • •Degree in Computer Science, Computer Engineering, or a related field (or equivalent experience with strong fundamentals)
  • •Hands-on experience with one or more of the following: Model training (transformers/LLMs), Model inference at scale, Low-level GPU work (CUDA, Triton)
  • •Deep knowledge of at least one programming language (e.g., Python, Ruby, Java, Go)
  • •Experience working in production environments at meaningful scale and ability to communicate complex technical topics clearly
Experience:5+ yearsAIMLInfrastructure
Education:Bachelor's
Skills:PythonRubyJavaGoCUDATritonKubernetesDistributed training
Languages:English
Tech Stack:PythonCUDATritonKubernetesAWS

Company Brief

Intercom
Provides a customer messaging platform combining chat, bots, and product tours to help businesses convert, engage, and support customers across their lifecycle. Integrates with CRM and workflow tools for personalized in-app and email communication.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series D
Headquarters: San Francisco, United States
Founded: 2011
WebsiteLinkedIn