Find Full stack ai software Jobs in Dublin, D

AI Native SW Engineering Consultant
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
Software Engineer, Documentation Platform
Bentley Systems —DUBLIN 2, County Dublin
- Azure
- Computer Science
- DevOps
Technology Architecture
Accenture —Dublin, County Dublin
- Full-time
- Azure
- Salesforce
- Master's degree
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
Lead Software Engineer- Backend
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- DevOps
- System design
Senior AI Developer
Citco —Dublin, County Dublin
- Full-time
- Computer Science
- DevOps
- Master's degree
Production Engineer (Kubernetes)
Crusoe —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- Linux
Quick apply
AI Product Sales Executive
Sia —Dublin, County Dublin
- Full-time
- Marketing
- English
- Master's degree
Quick apply
11d
Principal Software Development Engineer
CarGurus —Dublin, County Dublin
- €90,000–€125,000 a year
- Java
- AWS
- JavaScript
Hardware Solutions Engineer
AMAX —Dublin, County Dublin
- Full-time
- Computer Science
- Analysis skills
- Bachelor's degree
Quick apply
Project Manager
Codec —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Oracle
- Computer Science
Quick apply
Partner Solutions Architect
Nebius —Dublin, County Dublin
- Remote
- Azure
- AWS
- AI
Quick apply
Product Manager
Siena AI —Dublin, County Dublin
- Full-time
- Remote
- Master's degree
- AI
Senior Software Engineer
Equifax —Dublin, County Dublin
- Full-time
- Azure
- Java
- AWS
- Gym membership
- Sick pay
Senior Data Engineer
ZoomInfo Technologies LLC —Dublin, County Dublin
- On call
- Remote
- Computer Science
- Master's degree
- SQL
Solution Architect
Codec —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Oracle
- Project management
Quick apply
7d
Senior Product Engineer - Supply Team
WeTravel —Dublin, County Dublin
- Full-time
- Remote
- English
- Java
- Master's degree
- Annual leave
- Work from home
Staff Site Reliability Engineer
Replit —Dublin, County Dublin
- Full-time
- Remote
- Mentoring
- Communication skills
- Python
- Life insurance
Lead Software Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- AWS
Director of Software Engineering - Workforce ExperienceTechnology
JPMorganChase —DUBLIN 1, County Dublin
- Full-time
- Oracle
- Java
- AWS

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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 jobs in dublin, d

AI Native SW Engineering Consultant

Software Engineer, Documentation Platform

Technology Architecture

Principal Engineer - Product Group Engineering Modernisation & AI Adoption

Lead Software Engineer- Backend

Senior AI Developer

Production Engineer (Kubernetes)

AI Product Sales Executive

Principal Software Development Engineer

Hardware Solutions Engineer

Project Manager

Partner Solutions Architect

Product Manager

Senior Software Engineer

Senior Data Engineer

Solution Architect

Senior Product Engineer - Supply Team

Staff Site Reliability Engineer

Lead Software Engineer

Director of Software Engineering - Workforce ExperienceTechnology

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