Find Lead full stack Jobs in Ballymount, D

AI Native SW Engineer
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
7d
PRINCIPAL AUTOMATION ENGINEER
Réalta Technologies (RT) —Dublin, County Dublin
- Full-time
- Bachelor's degree
- No degree
- Mentoring
Senior Manager, Architecture & Components
Bristol-Myers Squibb —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Azure
- Computer Science
6d
Data Center Operations Engineer - Dublin
TikTok —Dublin, County Dublin
- On call
- Computer Science
- No degree
- Scripting
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
HR Director
Circit Limited —Dublin, County Dublin
- Full-time
- Hybrid work
- Bachelor's degree
- Continuous improvement
- Human resources
Quick apply
Software Engineer III, WAN Core, Network Engineering
Google —Dublin, County Dublin
- €100,000–€102,000 a year
- Full-time
- Software troubleshooting
- System design
- Bachelor's degree
2d
Data Engineering Manager
Verve —Dublin, County Dublin
- On call
- SQL
- Leadership
- Python
Mechanical Engineer
Applied Materials —Dublin, County Dublin
- Full-time
- CAD
- Engineering
- System design
Linux/Embedded Firmware Engineer
Full Stack Energy —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- System design
- English
Quick apply
6d
Software Engineer II (R-19394)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- System design
- English
- Annual leave
Quick apply
Digital AI Solution Architect
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- DevOps
6d
Director of Data Engineering
2K —Dublin, County Dublin
- DevOps
- Data analysis skills
- AI
Quick apply
Forward Deployed Engineer
Accenture —Dublin, County Dublin
- Full-time
- Presentation skills
- AI
7d
Senior Manager, Channel Operations & Partner Programs (Hybrid)
Nitro —Dublin, County Dublin
- Microsoft Excel
- Sales
- Salesforce
Quick apply
Lead Software Engineer
Medserv —Dundrum, County Dublin
- €110,000 a year
- Full-time
- Hybrid work
- Azure
- System design
- Master's degree
- Annual leave
- Employee assistance program
Quick apply
14d
Senior Data Engineer
ZoomInfo Technologies LLC —Dublin, County Dublin
- On call
- Remote
- Computer Science
- Master's degree
- SQL
6d
- Data Engineer/Analytics Engineer
ErnieApp —DUBLIN 2, County Dublin
- Full-time
- SQL
- AWS
- Analysis skills
Business Development Representative (BDR) - EMEA
Confirmo —Dublin, County Dublin
- Full-time
- Hybrid work
- Bachelor's degree
- Communication skills
Quick apply
Head of New Business Development
VIOTAS Limited —Dublin, County Dublin
- Full-time
- Hybrid work
- Engineering
- No degree
- Annual leave
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

Apply Now

Refine Your Search

lead full stack jobs in ballymount, d

AI Native SW Engineer

PRINCIPAL AUTOMATION ENGINEER

Senior Manager, Architecture & Components

Data Center Operations Engineer - Dublin

Engineering Manager - PASS

HR Director

Software Engineer III, WAN Core, Network Engineering

Data Engineering Manager

Mechanical Engineer

Linux/Embedded Firmware Engineer

Software Engineer II (R-19394)

Digital AI Solution Architect

Director of Data Engineering

Forward Deployed Engineer

Senior Manager, Channel Operations & Partner Programs (Hybrid)

Lead Software Engineer

Senior Data Engineer

- Data Engineer/Analytics Engineer

Business Development Representative (BDR) - EMEA

Head of New Business Development

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