Find Stack lead software engineer Jobs in Clontarf, D

AI Native SW Engineer
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
5h
Lead Sales Engineering Specialist - Security
Fivetran —Dublin, County Dublin
- Full-time
- Remote
- Azure
- Java
- SQL
- Annual leave
- Sick pay
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Business Support Engineer
Meta —Dublin, County Dublin
- Weekend availability
- Master's degree
- SQL
- JavaScript
Technical Escalations Engineer 2 (Agent) - Dublin
Datadog —Dublin, County Dublin
- On call
- Windows
- Linux
- Python
- Employee stock purchase plan
Quick apply
7d
Engineering Manager
Ethyca —Dublin, County Dublin
- Full-time
- AWS
- AI
- Leadership
Quick apply
Business Development Executive
Learnosity —Dublin, County Dublin
- €45,000–€50,000 a year
- Full-time
- Hybrid work
- Computer Science
- Sales
- Salesforce
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13d
Staff Engineer
Seapoint —Dublin, County Dublin
- Full-time
- Hybrid work
- System design
- AWS
Quick apply
Staff Product Manager
Intercom —Dublin, County Dublin
- Hybrid work
- Annual leave
- Work from home
Backend Software Engineer
Grouper —Dublin, County Dublin
- Hybrid work
- Azure
- Computer Science
- Java
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Data Engineer
Grouper —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
Quick apply
Cloud Platform Engineer
Grouper —Dublin, County Dublin
- Full-time
- Remote
- Azure
- Java
- AWS
Quick apply
Director of Software Engineering - Workplace Technology
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Computer Science
- Java
12h
Automation Engineer DeltaV
Cognizant —Dublin, County Dublin
- Full-time
- Hybrid work
- No degree
23h

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AI Native SW Engineer

Accenture -
Dublin, County Dublin

Apply Now

Job details

Full-time
5 hours ago

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

stack lead software engineer jobs in clontarf, d

AI Native SW Engineer

Lead Sales Engineering Specialist - Security

Business Support Engineer

Technical Escalations Engineer 2 (Agent) - Dublin

Engineering Manager

Business Development Executive

Staff Engineer

Staff Product Manager

Backend Software Engineer

Data Engineer

Cloud Platform Engineer

Director of Software Engineering - Workplace Technology

Automation Engineer DeltaV

I want to receive the latest job alerts for stack lead software engineer in clontarf, d

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