Find Full stack ai software engineer Jobs in Dublin, D

AI Native SW Engineer - Manager
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
Senior Engineer, Full Stack Developer
Analog Devices —Glasnevin, County Dublin
- Full-time
- Computer Science
- System design
- Master's degree
Forward Deployed Engineer
Salesforce —Dublin, County Dublin
- Full-time
- Salesforce
- Java
- Master's degree
3d
Founding Backend Engineer (Java)
Grand Intelligence —Dublin, County Dublin
- Full-time
- Hybrid work
- Java
- AWS
- AI
Quick apply
Senior Full Stack Engineer - Team Web
Intercom —Dublin, County Dublin
- Hybrid work
- Computer Science
- AWS
- Bachelor's degree
- Work from home
Technical Solutions Engineer I, Scaled Solutions
Google —Dublin, County Dublin
- €72,000–€96,000 a year
- Full-time
- Oracle
- Engineering
- System design
5h
Software Development Engineer - Data Platform
Workday —Dublin, County Dublin
- €72,000–€108,000 a year
- Full-time
- DevOps
- Maintenance
- Java
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
Associate Director, Digital Diagnostics & AI
AstraZeneca —Dublin, County Dublin
- Azure
- Doctoral degree
- Computer Science
11d
Data Engineer
Kitman Labs —Dublin, County Dublin
- Full-time
- Hybrid work
- SQL
- AWS
- AI
Technology Architecture
Accenture —Dublin, County Dublin
- Full-time
- Azure
- Salesforce
- Master's degree
Senior Full Stack Engineer
ZeroRisk —Dublin, County Dublin
- Full-time
- Remote
- Java
- AWS
Senior Full Stack Engineer
RapidRatings —Dublin, County Dublin
- €95,000–€115,000 a year
- Full-time
- Hybrid work
- AWS
- JavaScript
- AI
- Annual leave
Quick apply
4d
Full Stack Software Engineer
eBay Inc. —Dublin, County Dublin
- Full-time
- Azure
- Java
- SQL
11d
Software Engineer, Documentation Platform
Bentley Systems —DUBLIN 2, County Dublin
- Azure
- Computer Science
- DevOps
Full Stack Engineer, Charles River Development, Assistant Vice President
State Street —Dublin, County Dublin
- Full-time
- Azure
- Java
- SQL
Senior Full-Stack Developer
Citi —Dublin, County Dublin
- €71,440–€107,160 a year
- Full-time
- Hybrid work
- Computer Science
- DevOps
- Java
Senior Full-Stack Engineer
StoneX Group —Dublin, County Dublin
- Azure
- Computer Science
- English
AI Infrastructure Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- Computer Science
- Java
- Master's degree
- Work from home
Full Stack Engineer
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer science
- Microsoft Excel
- Engineering

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AI Native SW Engineer - Manager

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

Architect and govern production-grade agentic systems at enterprise scale: multi-agent orchestration across complex environments, RAG pipelines, policy-based routing, memory management, and programme-level lifecycle observability

Define RAG pipeline standards across engagements: establish chunking and embedding strategies, set quality benchmarks, and ensure metric-backed tradeoff decisions are documented and transferable

Set multi-LLM integration standards: vendor-agnostic architecture by default, fallback routing and cost governance as standard design practice across providers including OpenAI, Anthropic, Vertex AI, and open-source models

Own LLMOps at programme scale: eval strategy, prompt governance, observability tooling standards, safety monitoring and cost controls across multiple concurrent systems

Lead client engineering engagements at senior level — facilitate architecture design sessions, lead proof-of-concept delivery, and drive alignment between client technology leadership and delivery teams

Shape and publish reusable patterns, accelerators, and engineering standards that scale across the practice and reduce ramp-up time on new client engagements

Own the measurement framework for agentic system quality: define accuracy, latency, safety, and cost metrics; present programme-level AI impact in business terms to senior client stakeholders

Extensive experience in software engineering 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

People lead responsibilities: experience managing, developing, and performance-managing a team of engineers; setting individual development plans and conducting career conversations

#LI-EU

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Refine Your Search

full stack ai software engineer jobs in dublin, d

AI Native SW Engineer - Manager

Senior Engineer, Full Stack Developer

Forward Deployed Engineer

Founding Backend Engineer (Java)

Senior Full Stack Engineer - Team Web

Technical Solutions Engineer I, Scaled Solutions

Software Development Engineer - Data Platform

Principal Engineer - Product Group Engineering Modernisation & AI Adoption

Associate Director, Digital Diagnostics & AI

Data Engineer

Technology Architecture

Senior Full Stack Engineer

Senior Full Stack Engineer

Full Stack Software Engineer

Software Engineer, Documentation Platform

Full Stack Engineer, Charles River Development, Assistant Vice President

Senior Full-Stack Developer

Senior Full-Stack Engineer

AI Infrastructure Engineer

Full Stack Engineer

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