Find Senior software engineer distributed Jobs in Ringsend, D

AI Infrastructure Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- Computer Science
- Java
- Master's degree
- Work from home
Sr. Engineer - Data Onboarding, NG-SIEM (Hybrid)
CrowdStrike —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Java
Senior AI/ML Computational Scientist
Accenture —Dublin, County Dublin
- Full-time
- Computer science
- Doctoral degree
- Computer Science
11d
Senior Applied Scientist, AWS Security
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Doctoral degree
- Research
- Master's degree
Principal Software Engineer — Cloud Agentic AI Platform
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Java
- Master's degree
3d
Software Development Manager , AWS DMS
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Oracle
- Engineering
- AWS
4d
Principal AI/ML Scientist & Engineer
Pipedrive —Dublin, County Dublin
- Full-time
- Hybrid work
- English
- AWS
- Mentoring
- Relocation assistance
- Annual leave
Quick apply
Principal Cybersecurity Architect
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- AWS
- Software development
- AI
Senior Cloud Networking Manager
eBay Inc. —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
Manager, Software Development, AWS In-Memory Databases
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Engineering
- AWS
- Team management
Software Development Manager, Network Capacity Services
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Engineering
- Java
- AWS
Senior Software Engineer, Observability
MongoDB —Dublin, County Dublin
- On call
- Azure
- Java
- AWS
Senior Software Engineer, Atlas Clusters
MongoDB —Dublin, County Dublin
- On call
- Azure
- Java
- AWS
Senior Software Engineer, Forward Deployed AI Engineer
MongoDB —Dublin, County Dublin
- Hybrid work
- Azure
- Oracle
- Java
Senior Technical Program Manager Atlas Clusters
MongoDB —Dublin, County Dublin
- Hybrid work
- Azure
- AWS
- Analysis skills
Senior Sales Operations Analyst
MongoDB —Dublin, County Dublin
- Hybrid work
- Azure
- Sales
- SQL
Site Reliability Engineer (Senior or Staff), Storage Layer Services (SLS)
MongoDB —Dublin, County Dublin
- On call
- Remote
- Azure
- AWS
- Software development
Senior Software Engineer, Server Networking Security (Rust)
MongoDB —Dublin, County Dublin
- Azure
- AWS
- Bachelor's degree
Manager, Site Reliability Engineering - Storage Layer Service
MongoDB —Dublin, County Dublin
- Hybrid work
- Microsoft Excel
- Azure
- AWS

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AI Infrastructure Engineer

Intercom -
Dublin, County Dublin

Apply Now

Job details

Benefits

Work from home

Qualifications

Go
Law
Computer Science
Kubernetes
Java
Master's degree
AWS
Computer Engineering
Ruby
Less (style sheet language)
AI
Python

Full job description

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.

Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams.

Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers.

What's the opportunity?

We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of AI products.

Fin is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month.

You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI.

We’re particularly interested in engineers who have:

A track record of working on model training or model inference at scale, or on low‑level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better.

What will I be doing?

As a Senior AI Infrastructure Engineer focused on model training and inference, you will:

Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation.
Build and optimize inference services that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks.
Work on GPU‑level performance: tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack.
Collaborate closely 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.
Raise the bar for technical standards, reliability, and operational excellence across Fin's AI platform.

Profile we’re looking for:

These are indicative, not hard requirements

We’re looking to hire Senior+ AI Infrastructure Engineers. You’re likely a great fit if:

You have 5+ years of experience in software engineering, with a strong track record of shipping high‑quality products or platforms.
You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals).
You have hands‑on experience with one or more of the following:
- Model training (especially transformers and LLMs).
- Model inference at scale (again, especially transformers and LLMs).
- Low‑level GPU work, such as writing CUDA or Triton kernels.
Comfortable working in production environments at meaningful scale (traffic, data, or organizational).
You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‑engineers.
You take pride in strong technical fundamentals, love learning, and are willing to invest in your own development.
Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly.

Bonus skills & attributes

None of these are required, but they’re nice to have:

Experience at AI native companies that train and/or run inference for their own models (e.g. modern AI labs or AI‑native product companies).
Experience running training or inference workloads on Kubernetes.
Experience with AWS or other major cloud providers.
Production experience with Python in ML or infrastructure contexts.
Demonstrated passion for technology through personal projects, open source, meetups, or publishing content about your work and learnings

#LI-Hybrid

At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements.

Learn more about working at Fin and the benefits we offer at fin.ai/careers.

Policies

Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.

Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

Apply Now

Refine Your Search

senior software engineer distributed jobs in ringsend, d

AI Infrastructure Engineer

Sr. Engineer - Data Onboarding, NG-SIEM (Hybrid)

Senior AI/ML Computational Scientist

Senior Applied Scientist, AWS Security

Principal Software Engineer — Cloud Agentic AI Platform

Software Development Manager , AWS DMS

Principal AI/ML Scientist & Engineer

Principal Cybersecurity Architect

Senior Cloud Networking Manager

Manager, Software Development, AWS In-Memory Databases

Software Development Manager, Network Capacity Services

Senior Software Engineer, Observability

Senior Software Engineer, Atlas Clusters

Senior Software Engineer, Forward Deployed AI Engineer

Senior Technical Program Manager Atlas Clusters

Senior Sales Operations Analyst

Site Reliability Engineer (Senior or Staff), Storage Layer Services (SLS)

Senior Software Engineer, Server Networking Security (Rust)

Manager, Site Reliability Engineering - Storage Layer Service

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