Find Full stack ai software engineer Jobs in Dublin, D

AI Native SW Engineering Consultant
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
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
Technology Architecture
Accenture —Dublin, County Dublin
- Full-time
- Azure
- Salesforce
- Master's degree
Technical Solutions Engineer I, Scaled Solutions
Google —Dublin, County Dublin
- €72,000–€96,000 a year
- Full-time
- Oracle
- Engineering
- System design
23h
Software Engineer, Documentation Platform
Bentley Systems —DUBLIN 2, County Dublin
- Azure
- Computer Science
- DevOps
Lead Software Engineer- Backend
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- DevOps
- System design
Senior Product Engineer - Supply Team
WeTravel —Dublin, County Dublin
- Full-time
- Remote
- English
- Java
- Master's degree
- Annual leave
- Work from home
Senior Software Engineer
Equifax —Dublin, County Dublin
- Full-time
- Azure
- Java
- AWS
- Gym membership
- Sick pay
Principal Software Development Engineer
CarGurus —Dublin, County Dublin
- €90,000–€125,000 a year
- Java
- AWS
- JavaScript
Senior Cloud Support Engineer
Crusoe —Dublin, County Dublin
- Full-time
- Azure
- Management
- Computer Science
Quick apply
Partner Solutions Architect
Nebius —Dublin, County Dublin
- Remote
- Azure
- AWS
- AI
Quick apply
Lead Software Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- AWS
Staff Production Engineer
Crusoe —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- No degree
- Life insurance
Quick apply
11d
Marketing Solutions Engineer
Salesforce —Dublin, County Dublin
- Full-time
- English
- Communication skills
- Marketing
Product Manager
Siena AI —Dublin, County Dublin
- Full-time
- Remote
- Master's degree
- AI
Safety Engineer - Free Tier Abuse
ElevenLabs —Dublin, County Dublin
- Full-time
- Remote
- DevOps
- Data analysis skills
- SQL
Senior Engineer, Infrastructure Platform
Intercom —Dublin, County Dublin
- Hybrid work
- AWS
- Work from home
Senior .NET Engineer
AccountsIQ —Dublin, County Dublin
- Azure
- Computer Science
- DevOps
- Annual leave
Quick apply
Engineering Director
Fiserv —Dublin, County Dublin
- Full-time
- Java
- AWS
Mechanical Engineer
Applied Materials —Dublin, County Dublin
- Full-time
- CAD
- Engineering
- System design

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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

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Refine Your Search

full stack ai software engineer jobs in dublin, d

AI Native SW Engineering Consultant

Principal Engineer - Product Group Engineering Modernisation & AI Adoption

Technology Architecture

Technical Solutions Engineer I, Scaled Solutions

Software Engineer, Documentation Platform

Lead Software Engineer- Backend

Senior Product Engineer - Supply Team

Senior Software Engineer

Principal Software Development Engineer

Senior Cloud Support Engineer

Partner Solutions Architect

Lead Software Engineer

Staff Production Engineer

Marketing Solutions Engineer

Product Manager

Safety Engineer - Free Tier Abuse

Senior Engineer, Infrastructure Platform

Senior .NET Engineer

Engineering Director

Mechanical Engineer

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