AI Infrastructure Engineer

Intercom
London, Berlin, Dublin
Workplace: HybridFull timeFunction: DevOps, Cloud & InfrastructureExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Collaboration","Mentoring","Problem-solving","Leadership"]

Senior+ AI Infrastructure Engineer focused on building scalable training pipelines and low-latency inference services for transformer/LLM models. You’ll work in a small, highly technical team on GPU-centric optimization, collaborate with ML scientists, mentor engineers, and elevate reliability and operations across 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: 8 hours agoStatus: Live

Job Summary

Senior+ AI Infrastructure Engineer focused on building scalable training pipelines and low-latency inference services for transformer/LLM models. You’ll work in a small, highly technical team on GPU-centric optimization, collaborate with ML scientists, mentor engineers, and elevate reliability and operations across Intercom’s AI platform.
Location: London, Berlin, Dublin
Workplace: Hybrid
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

  • •Implement and scale training pipelines for large transformer and LLM models from data ingestion to 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/inference methods and bring them to production
  • •Mentor and develop other engineers on the team while raising technical standards and operational excellence

Pay and Benefits

Perks:PensionHealth InsuranceDentalLife InsurancePaid LeaveEquity

Key Requirements

  • •5+ years of experience in software engineering
  • •Degree in Computer Science, Computer Engineering, or a related field (or equivalent experience)
  • •Hands-on experience with one or more: model training (transformers/LLMs), model inference at scale, low-level GPU work (CUDA, Triton) kernels
  • •Comfortable working in production environments at meaningful scale
  • •Strong programming knowledge in at least one language (e.g., Python, Ruby, Java, Go)
Experience:5+ yearsAIMLSaaS
Education:Bachelor's
Skills:CommunicationCollaborationMentoringProblem-solvingLeadership
Languages:English
Tech Stack:CUDATritonPythonGoJavaRubyKubernetesAWS

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