Find Stack ai software engineer Jobs in Dublin, D

AI Native SW Engineering Consultant
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
Full-stack Software Engineer
Accenture —Dublin, County Dublin
- Full-time
- Computer Science
- Java
- SQL
Technology Architecture
Accenture —Dublin, County Dublin
- Full-time
- Azure
- Salesforce
- Master's degree
Staff Forward Deployed Engineer, Google Cloud Consulting (Multiple Languages)
Google —Dublin, County Dublin
- €150,000–€154,000 a year
- Full-time
- Spanish
- Microsoft Excel
- Doctoral degree
AI Native SW Engineer - Manager
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
Technical Solutions Engineer I, Scaled Solutions
Google —Dublin, County Dublin
- €72,000–€96,000 a year
- Full-time
- Oracle
- Engineering
- System design
5h
Senior AI Platform Engineer/AI Architect - Microsoft Technologies (relocation to the Netherlands)
EPAM Systems, Inc. —Dublin, County Dublin
- Hybrid work
- Azure
- DevOps
- Java
- Employee stock purchase plan
- Annual leave
10d
Application Support Engineer
Millennium Management —Dublin, County Dublin
- Computer Science
- Java
- AWS
Senior Full Stack Engineer - Team Web
Intercom —Dublin, County Dublin
- Hybrid work
- Computer Science
- AWS
- Bachelor's degree
- Work from home
Principal Engineer - Product Group Engineering Modernisation & AI Adoption
U.S. Bank National Association —DUBLIN 18, County Dublin
- €117,980–€138,800 a year
- Full-time
- Azure
- Computer Science
- Engineering
Senior Software Engineer
Daon Inc —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- System design
- Java
Quick apply
4h
Business Support Engineer
Meta —Dublin, County Dublin
- Weekend availability
- Master's degree
- SQL
- JavaScript
Full Stack Engineer, Charles River Development, Assistant Vice President
State Street —Dublin, County Dublin
- Full-time
- Azure
- Java
- SQL
Principal AI/ML Scientist & Engineer
Pipedrive —Dublin, County Dublin
- Full-time
- Hybrid work
- English
- AWS
- Mentoring
- Relocation assistance
- Annual leave
Quick apply
Technical Escalations Engineer 2 (Network Monitoring) - EMEA
Datadog —Dublin, County Dublin
- On call
- Windows
- Linux
- Employee stock purchase plan
Quick apply
Technical Services Engineer
MongoDB —Dublin, County Dublin
- Azure
- Java
- AWS
Senior Full-Stack Engineer
StoneX Group —Dublin, County Dublin
- Azure
- Computer Science
- English
Senior Full-Stack Developer
Citi —Dublin, County Dublin
- €71,440–€107,160 a year
- Full-time
- Hybrid work
- Computer Science
- DevOps
- Java
Site Reliability Engineer - Foundation Team
Global-e —Dublin, County Dublin
- Full-time
- DevOps
- AWS
- Budgeting
Quick apply
Production Engineer (Kubernetes)
Crusoe —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- Linux
Quick apply

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AI Native SW Engineering Consultant

Accenture -
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

CI/CD
Law
Kubernetes
Java
Master's degree
Docker
Terraform
AI
Python
Debugging

Full job description

You build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The difference between an AI Engineer and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned the eval harness, and you know what happens when your agent fails at 2am because you have lived it.

As an AI Engineer (Agentic/Applied), you will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. You will work directly with client engineering teams, lead technical design sessions, and build reusable patterns and accelerators that scale beyond individual engagements.

This sits at the heart of the AI engineering talent market — demand is growing faster than supply and will continue to do so. We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams and a direct pathway to the Forward Deployed Engineer programme.

Key Responsibilities

Design and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability

Build and own RAG pipelines: embeddings, chunking strategy, vector search, context window engineering and tuning against real quality targets

Integrate and abstract across multiple LLM providers — OpenAI, Anthropic, Vertex AI, and open-source models — with fallback routing, token, cost, and latency management

Implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring

Embed directly with client engineering teams to design, prototype, and deploy agentic solutions — workshops, proofs of concept, code-with sessions, and architecture walkthroughs

Build reusable patterns, accelerators, and playbooks that scale beyond the individual client engagement and enable the next one to start faster

Define and use metrics to measure agent accuracy, latency, safety, and cost-effectiveness; present findings and recommendations to client stakeholders in business terms

Software engineering experience in production environments

Minimum 1 year of hands-on experience designing and deploying agentic AI solutions in a production environment — non-negotiable

Demonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent — at production depth, not tutorial level

Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management, latency and cost tradeoffs

RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering

LLMOps fundamentals: eval harness design, prompt versioning, and production observability

Cloud-native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, and IaC (Terraform or Helm)

Strong Python; Java or equivalent backend language acceptable; production debugging and observability experience

Quality of experience is weighted over years, a candidate who has shipped three production agentic systems in four years is preferred over a generalist with passive AI exposure

#LI-EU

Apply Now

Refine Your Search

stack ai software engineer jobs in dublin, d

AI Native SW Engineering Consultant

Full-stack Software Engineer

Technology Architecture

Staff Forward Deployed Engineer, Google Cloud Consulting (Multiple Languages)

AI Native SW Engineer - Manager

Technical Solutions Engineer I, Scaled Solutions

Senior AI Platform Engineer/AI Architect - Microsoft Technologies (relocation to the Netherlands)

Application Support Engineer

Senior Full Stack Engineer - Team Web

Principal Engineer - Product Group Engineering Modernisation & AI Adoption

Senior Software Engineer

Business Support Engineer

Full Stack Engineer, Charles River Development, Assistant Vice President

Principal AI/ML Scientist & Engineer

Technical Escalations Engineer 2 (Network Monitoring) - EMEA

Technical Services Engineer

Senior Full-Stack Engineer

Senior Full-Stack Developer

Site Reliability Engineer - Foundation Team

Production Engineer (Kubernetes)

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