Find Software engineer ai tooling Jobs in Ballymount, D

AI Native SW Engineer - Manager
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
4d
Lead Software Engineer - Infrastructure Platforms
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Engineering
- Java
- C++
5d
Senior Site Reliability engineer
Guidewire Software —Dublin, County Dublin
- Weekend availability
- Oracle
- Computer Science
- DevOps
EDA flow and Logic Synthesis Engineer (Staff Engineer)
Synopsys —Dublin, County Dublin
- Master's degree
- Analysis skills
- Bachelor's degree
Senior Network Engineer
Salesforce —Dublin, County Dublin
- Full-time
- Engineering
- Analysis skills
- No degree
Senior Software Engineer - Commerce Hub
Fiserv —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AWS
14d
Documentation Platform Engineer
Bentley Systems —DUBLIN 2, County Dublin
- Azure
- DevOps
- Engineering
Senior Platform Engineer
Autodesk —Dublin, County Dublin
- Full-time
- Computer Science
- DevOps
- System design
Technical Support Engineer - Premium Accounts, Weekend Coverage
Harvey —Dublin, County Dublin
- Weekend availability
- Remote
- AI
- Communication skills
7d
Software Engineer - ML Platform
Datavant Ireland —Dublin, County Dublin
- Remote
- Azure
- Computer Science
- DevOps
Quick apply
Software Engineering Manager
eBay Inc. —Dublin, County Dublin
- Full-time
- Computer Science
- System design
- Java
Software Engineer 3, Atlas API Experience Integrations
MongoDB —Dublin, County Dublin
- Azure
- No experience needed
- Java
Software Architect
Holafly —Dublin, County Dublin
- Remote
- Spanish
- System design
- English
Software Engineer, Lake & Warehouse Infrastructure
Datavant Ireland —Dublin, County Dublin
- Remote
- Azure
- SQL
- AWS
Quick apply
Cloud Security Engineer
Intercom —Dublin, County Dublin
- On call
- Hybrid work
- AWS
- Software development
- AI
- Annual leave
- Work from home
Application Support Engineer
Millennium Management —Dublin, County Dublin
- Computer Science
- Java
- AWS
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
Lead Engineer - AI Agents
M-KOPA —Dublin, County Dublin
- Full-time
- Remote
- AI
- Leadership
13d
Principal Engineer, Design Verification Engineering
Analog Devices —Dublin, County Dublin
- Full-time
- Master's degree
- Scripting
- Electrical Engineering
- Relocation assistance
Senior Core Technologies Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- Annual leave
- Work from home

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AI Native SW Engineer - Manager

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

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

software engineer ai tooling jobs in ballymount, d

AI Native SW Engineer - Manager

Lead Software Engineer - Infrastructure Platforms

Senior Site Reliability engineer

EDA flow and Logic Synthesis Engineer (Staff Engineer)

Senior Network Engineer

Senior Software Engineer - Commerce Hub

Documentation Platform Engineer

Senior Platform Engineer

Technical Support Engineer - Premium Accounts, Weekend Coverage

Software Engineer - ML Platform

Software Engineering Manager

Software Engineer 3, Atlas API Experience Integrations

Software Architect

Software Engineer, Lake & Warehouse Infrastructure

Cloud Security Engineer

Application Support Engineer

Software Engineer II, Infrastructure Security

Lead Engineer - AI Agents

Principal Engineer, Design Verification Engineering

Senior Core Technologies Engineer

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