Find Software engineer ai tooling Jobs in Dublin, D

AI Native SW Engineer
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
4d
EDA flow and Logic Synthesis Engineer (Staff Engineer)
Synopsys —Dublin, County Dublin
- Master's degree
- Analysis skills
- Bachelor's degree
EDA flow and Logic Synthesis Engineer (Senior Engineer)
Synopsys —Dublin, County Dublin
- Master's degree
- Bachelor's degree
- No degree
Founding Engineer
Positive Carbon —Dublin, County Dublin
- €55,000–€75,000 a year
- Master's degree
- Annual leave
Quick apply
Cloud Security Engineer
Intercom —Dublin, County Dublin
- On call
- Hybrid work
- AWS
- Software development
- AI
- Annual leave
- Work from home
Senior Site Reliability engineer
Guidewire Software —Dublin, County Dublin
- Weekend availability
- Oracle
- Computer Science
- DevOps
Mechanical Engineer
Applied Materials —Dublin, County Dublin
- Full-time
- CAD
- Engineering
- System design
Software Engineer II, Infrastructure Security
Klaviyo —Dublin, County Dublin
- €76,000–€114,000 a year
- On call
- Hybrid work
- System design
- AWS
- Python
Quick apply
kdb+ Engineer
Data Intellect —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- AWS
- Software development
- Referral programme
Quick apply
Principal Data Scientist
Optum —Dublin, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
Principal Engineer, Design Verification Engineering
Analog Devices —Dublin, County Dublin
- Full-time
- Master's degree
- Scripting
- Electrical Engineering
- Relocation assistance
Infrastructure Engineer
Crusoe —Dublin, County Dublin
- Full-time
- Computer Science
- Analysis skills
- Bachelor's degree
Quick apply
Senior Software Engineer, Platform (based in Dublin OR Madrid)
Fresco —DUBLIN 8, County Dublin
- Full-time
- Hybrid work
- English
- Master's degree
- AWS
Quick apply
Application Security Engineer
Intercom —Dublin, County Dublin
- On call
- Hybrid work
- Windows
- Software development
- AI
- Annual leave
- Work from home
Staff Engineer, Site Reliability
LearnUpon —Dublin, County Dublin
- On call
- AWS
- AI
- Annual leave
Technical Escalations Engineer 2 (Network Monitoring) - EMEA
Datadog —Dublin, County Dublin
- On call
- Windows
- Linux
- Employee stock purchase plan
Quick apply
10d
Senior Core Technologies Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- Annual leave
- Work from home
Senior Security Engineer
Cubic³ —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- Windows
Lead Engineer - AI Agents
M-KOPA —Dublin, County Dublin
- Full-time
- Remote
- AI
- Leadership
12d
Site Reliability Engineer - Foundation Team
Global-e —Dublin, County Dublin
- Full-time
- DevOps
- AWS
- Budgeting
Quick apply

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AI Native SW Engineer

Accenture -
Dublin, County Dublin

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Job details

Full-time
4 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

software engineer ai tooling jobs in dublin, d

AI Native SW Engineer

EDA flow and Logic Synthesis Engineer (Staff Engineer)

EDA flow and Logic Synthesis Engineer (Senior Engineer)

Founding Engineer

Cloud Security Engineer

Senior Site Reliability engineer

Mechanical Engineer

Software Engineer II, Infrastructure Security

kdb+ Engineer

Principal Data Scientist

Principal Engineer, Design Verification Engineering

Infrastructure Engineer

Senior Software Engineer, Platform (based in Dublin OR Madrid)

Application Security Engineer

Staff Engineer, Site Reliability

Technical Escalations Engineer 2 (Network Monitoring) - EMEA

Senior Core Technologies Engineer

Senior Security Engineer

Lead Engineer - AI Agents

Site Reliability Engineer - Foundation Team

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