Find Stack lead software Jobs in Finglas, D

AI Native SW Engineer
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
7d
Manager, Engineering (Backend Development)
Sonatus —Dublin, County Dublin
- Computer Science
- Engineering
- Java
- Annual leave
- Life insurance
Quick apply
Senior Software Engineer - Core Team
Userpilot —Dublin, County Dublin
- Full-time
- Hybrid work
- System design
- AWS
- Communication skills
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Principal Decision Scientist - Marketing
Pipedrive —Dublin, County Dublin
- Full-time
- Hybrid work
- English
- SQL
- Mentoring
- Relocation assistance
- Annual leave
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14d
Senior Engineer, Client Apps
Dolby —Dublin, County Dublin
- System design
- JavaScript
- Software development
Engineering Manager
Cylynt —Dublin, County Dublin
- Full-time
- Remote
- Oracle
- Agile
- Python
Quick apply
Sales Leader, BDR Manager France- French Speaking
Salesforce —Dublin, County Dublin
- Full-time
- Sales
- English
- Leadership
Partner Technical Architect - Agentforce
Salesforce —Dublin, County Dublin
- Full-time
- Salesforce
- AI
Senior Engineer, Infrastructure Platform
Intercom —Dublin, County Dublin
- Hybrid work
- AWS
- Annual leave
- Work from home
Mechanical Engineer
Applied Materials —Dublin, County Dublin
- Full-time
- CAD
- Engineering
- System design
Staff Engineer, Site Reliability
LearnUpon —Dublin, County Dublin
- On call
- AWS
- AI
- Annual leave
Specialist, Strategic Events Operations
MongoDB —Dublin, County Dublin
- Hybrid work
- Google Suite
- Azure
- Salesforce
Senior Engineering Manager, API Hub
Bentley Systems —DUBLIN 2, County Dublin
- Communication skills
Software Engineer Manager
Elwood Roberts —Dublin, County Dublin
- €500–€600 a month
- Full-time
- Microsoft Excel
- Java
- AWS
Quick apply
Engineering Manager - PASS
Squarespace —Dublin, County Dublin
- €107,000–€165,000 a year
- Overtime
- Hybrid work
- Java
- AI
- Communication skills
- Annual leave
- Employee assistance program
Lead Engineer - AI Agents
M-KOPA —Dublin, County Dublin
- Full-time
- Remote
- AI
- Leadership
Director, Game Science & Insights
2K —Dublin, County Dublin
- Computer Science
- SQL
- Project management
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Principal Software Engineer
Global-e —Dublin, County Dublin
- Full-time
- AWS
- No degree
- Agile
Quick apply
Product Manager, Marketing Technology & Innovation
Take-Two Interactive Software, Inc. —Dublin, County Dublin
- Budgeting
- Communication skills
- Marketing
- Employee discount
- Gym membership
Quick apply
13d
Staff Engineer
Solance —Dublin, County Dublin
- Full-time
- Hybrid work
- System design
- Java
- AWS
Quick apply

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AI Native SW Engineer

Accenture -
Dublin, County Dublin

Apply Now

Job details

Full-time
7 days 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 jobs in finglas, d

AI Native SW Engineer

Manager, Engineering (Backend Development)

Senior Software Engineer - Core Team

Principal Decision Scientist - Marketing

Senior Engineer, Client Apps

Engineering Manager

Sales Leader, BDR Manager France- French Speaking

Partner Technical Architect - Agentforce

Senior Engineer, Infrastructure Platform

Mechanical Engineer

Staff Engineer, Site Reliability

Specialist, Strategic Events Operations

Senior Engineering Manager, API Hub

Software Engineer Manager

Engineering Manager - PASS

Lead Engineer - AI Agents

Director, Game Science & Insights

Principal Software Engineer

Product Manager, Marketing Technology & Innovation

Staff Engineer

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