Find Stack lead software Jobs in Finglas, D

AI Native SW Engineer
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
2d
Senior Data Engineer
ZoomInfo Technologies LLC —Dublin, County Dublin
- On call
- Remote
- Computer Science
- Master's degree
- SQL
1d
Lead Sales Engineering Specialist - Security
Fivetran —Dublin, County Dublin
- Full-time
- Remote
- Azure
- Java
- SQL
- Annual leave
- Sick pay
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
Data Analytics and AI Team Lead
Spanish Point Technologies —Clontarf, County Dublin
- Spanish
- Azure
- Computer Science
Principal Engineer, Web Platform – Team Web
Intercom —Dublin, County Dublin
- Hybrid work
- System design
- AWS
- JavaScript
- Annual leave
- Work from home
Forward Deployed Engineer III, Google Cloud Consulting (German, French)
Google —Dublin, County Dublin
- €100,000–€103,000 a year
- Full-time
- Spanish
- Doctoral degree
- Computer Science
1d
Technical Escalations Engineer 2 (Agent) - Dublin
Datadog —Dublin, County Dublin
- On call
- Windows
- Linux
- Python
- Employee stock purchase plan
Quick apply
9d
Director, Software Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- No degree
AI Native SW Engineer - Manager
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
2d
Software Engineer Manager
Elwood Roberts —Dublin, County Dublin
- €500–€600 a month
- Full-time
- Microsoft Excel
- Java
- AWS
Quick apply
Linux/Embedded Firmware Engineer
Full Stack Energy —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- System design
- English
Quick apply
1d
Staff Technical Program Manager, Site Reliability Engineering
MongoDB —Dublin, County Dublin
- Remote
- Azure
- AWS
- SDLC
Engineering Manager – Irish SaaS company | Dublin, Ireland (Hybrid)
Hadfield Green —DUBLIN 2, County Dublin
- System design
- Java
- Analysis skills
Senior Manager, Global Delivery Engineering
Dolby —Dublin, County Dublin
- Engineering
- Java
- Leadership
Principal AI/ML Scientist & Engineer
Pipedrive —Dublin, County Dublin
- Full-time
- Hybrid work
- English
- AWS
- Mentoring
- Relocation assistance
- Annual leave
Quick apply
5d
Senior Data Engineer
Datavant Ireland —Dublin, County Dublin
- Remote
- Azure
- SQL
- AWS
Quick apply
3d
Engineering Manager
Cylynt —Dublin, County Dublin
- Full-time
- Remote
- Oracle
- Agile
- Python
Quick apply
Staff Site Reliability Engineer
Replit —Dublin, County Dublin
- Full-time
- Remote
- Mentoring
- Communication skills
- Python
- Life insurance
Senior Product Security Engineer, Server
MongoDB —Dublin, County Dublin
- Hybrid work
- Azure
- AWS
- C++

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AI Native SW Engineer

Accenture -
Dublin, County Dublin

Apply Now

Job details

Full-time
2 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

Apply Now

Refine Your Search

stack lead software jobs in finglas, d

AI Native SW Engineer

Senior Data Engineer

Lead Sales Engineering Specialist - Security

Engineering Manager - PASS

Data Analytics and AI Team Lead

Principal Engineer, Web Platform – Team Web

Forward Deployed Engineer III, Google Cloud Consulting (German, French)

Technical Escalations Engineer 2 (Agent) - Dublin

Director, Software Engineering

AI Native SW Engineer - Manager

Software Engineer Manager

Linux/Embedded Firmware Engineer

Staff Technical Program Manager, Site Reliability Engineering

Engineering Manager – Irish SaaS company | Dublin, Ireland (Hybrid)

Senior Manager, Global Delivery Engineering

Principal AI/ML Scientist & Engineer

Senior Data Engineer

Engineering Manager

Staff Site Reliability Engineer

Senior Product Security Engineer, Server

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