3 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: 14 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

Website LinkedIn

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Intercom

3 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: 14 hours agoStatus: Live

Job Summary

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

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

Website LinkedIn