Find Stack lead software Jobs in Finglas, D

AI Native SW Engineer - Manager
Accenture —Dublin, County Dublin
- Full-time
- Java
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3h
Senior Data Engineer
Datavant Ireland —Dublin, County Dublin
- Remote
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Quick apply
1d
Sales Leader, BDR Manager France- French Speaking
Salesforce —Dublin, County Dublin
- Full-time
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Fiserv —Dublin, County Dublin
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Specialist, Strategic Events Operations
MongoDB —Dublin, County Dublin
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Director Data Science
Optum —Dublin, County Dublin
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Intercom —Dublin, County Dublin
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Director, Financial Operations & Accounting
Supermetrics —Dublin, County Dublin
- ERP systems
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1d
Staff Engineer
Solance —Dublin, County Dublin
- Full-time
- Hybrid work
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Lead Engineer - AI Agents
M-KOPA —Dublin, County Dublin
- Full-time
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8d
Mechanical Engineer
Applied Materials —Dublin, County Dublin
- Full-time
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Azure Integration Engineer
Codec —Dublin, County Dublin
- Full-time
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3h
Business Development Executive
Learnosity —Dublin, County Dublin
- €45,000–€50,000 a year
- Full-time
- Hybrid work
- Computer Science
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13d
Senior Engineering Manager, API Hub
Bentley Systems —DUBLIN 2, County Dublin
- Communication skills
Principal Decision Scientist - Marketing
Pipedrive —Dublin, County Dublin
- Full-time
- Hybrid work
- English
- SQL
- Mentoring
- Relocation assistance
- Annual leave
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7d
API Enterprise Account Executive (Hybrid)
Nitro —Dublin, County Dublin
- AI
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Sales Manager - Ireland Education
Flywire —Dublin, County Dublin
- Full-time
- Remote
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- Communication skills
- Employee stock purchase plan
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Staff Engineer
Seapoint —Dublin, County Dublin
- Full-time
- Hybrid work
- System design
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Automation Engineer DeltaV
Cognizant —Dublin, County Dublin
- Full-time
- Hybrid work
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1d
Backend Software Engineer
Grouper —Dublin, County Dublin
- Hybrid work
- Azure
- Computer Science
- Java
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AI Native SW Engineer - Manager

Accenture -
Dublin, County Dublin

Apply Now

Job details

Full-time
3 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

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

stack lead software jobs in finglas, d

AI Native SW Engineer - Manager

Senior Data Engineer

Sales Leader, BDR Manager France- French Speaking

Principal Engineer - Commerce Hub

Specialist, Strategic Events Operations

Director Data Science

Senior Engineer, Infrastructure Platform

Director, Financial Operations & Accounting

Staff Engineer

Lead Engineer - AI Agents

Mechanical Engineer

Azure Integration Engineer

Business Development Executive

Senior Engineering Manager, API Hub

Principal Decision Scientist - Marketing

API Enterprise Account Executive (Hybrid)

Sales Manager - Ireland Education

Staff Engineer

Automation Engineer DeltaV

Backend Software Engineer

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