Find Full stack ai Jobs in Dublin, D

AI Native SW Engineer - Manager
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
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
14d
Forward Deployed Engineering Specialist
Accenture —Dublin, County Dublin
- Full-time
Marketing Solutions Engineer
Salesforce —Dublin, County Dublin
- Full-time
- English
- Communication skills
- Marketing
Business Development Representative - DACH
Fivetran —Dublin, County Dublin
- Full-time
- Sales
- Research
- No degree
- Annual leave
- Sick pay
Quick apply
Customer Solutions Architect, Manager
Fivetran —Dublin, County Dublin
- Full-time
- Remote
- Leadership
- Annual leave
- Sick pay
Quick apply
Data Engineering Manager
Verve —Dublin, County Dublin
- On call
- SQL
- Leadership
- Python
Sales Development Strategy and Operations Manager
Okta —Dublin, County Dublin
- €78,000–€108,000 a year
- Sales
- Presentation skills
- AI
Quick apply
Software Architect
AMCS Group —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
Quick apply
Lead Software Engineer- Backend
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- DevOps
- System design
Engineering Director
Fiserv —Dublin, County Dublin
- Full-time
- Java
- AWS
Senior MLOps Engineer
MUFG Investor Services —Dublin, County Dublin
- Full-time
- DevOps
- AWS
- AI
Quick apply
Senior Software Engineer
Equifax —Dublin, County Dublin
- Full-time
- Azure
- Java
- AWS
- Gym membership
- Sick pay
Head of EMEA Partnerships
Crusoe —Dublin, County Dublin
- Full-time
- Sales
- Bachelor's degree
- In-person
Quick apply
Director of Software Engineering - Workforce ExperienceTechnology
JPMorganChase —DUBLIN 1, County Dublin
- Full-time
- Oracle
- Java
- AWS
Senior Site Reliability Engineer
Fivetran —Dublin, County Dublin
- Full-time
- Azure
- Java
- AWS
- Annual leave
- Sick pay
Quick apply
Commercial Customer Success Manager (DACH; German-Speaking)
Datadog —Dublin, County Dublin
- Communication skills
- Employee stock purchase plan
Quick apply
Account Executive - Marketing Cloud - French Market
Salesforce —Dublin, County Dublin
- Full-time
- Sales
- English
Senior .NET Engineer
AccountsIQ —Dublin, County Dublin
- Azure
- Computer Science
- DevOps
- Annual leave
Quick apply

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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 jobs in dublin, d

AI Native SW Engineer - Manager

Software Engineer, Documentation Platform

Principal Engineer - Product Group Engineering Modernisation & AI Adoption

Forward Deployed Engineering Specialist

Marketing Solutions Engineer

Business Development Representative - DACH

Customer Solutions Architect, Manager

Data Engineering Manager

Sales Development Strategy and Operations Manager

Software Architect

Lead Software Engineer- Backend

Engineering Director

Senior MLOps Engineer

Senior Software Engineer

Head of EMEA Partnerships

Director of Software Engineering - Workforce ExperienceTechnology

Senior Site Reliability Engineer

Commercial Customer Success Manager (DACH; German-Speaking)

Account Executive - Marketing Cloud - French Market

Senior .NET Engineer

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