Find Senior full stack engineer Jobs

AI Native SW Engineer - Manager
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
7h
AI Engineering Manager
Flutter Entertainment —Dublin, County Dublin
- System design
- Master's degree
- AWS
Engineering Manager
Ethyca —Dublin, County Dublin
- Full-time
- AWS
- AI
- Leadership
Quick apply
Lead Engineer / Account Manager
Ergo —Dublin, County Dublin
- Windows
- Microsoft Office
- No degree
8d
Data Platform Engineer
Verifone —Dublin, County Dublin
- On call
- Hybrid work
- DevOps
- AWS
- Scripting
Quick apply
8d
Head of Engineering Delivery
BoyleSports —Dundalk, County Louth
- Azure
- Oracle
- Computer Science
7d
Forward Deployed Engineer
Accenture —Dublin, County Dublin
- Full-time
- Presentation skills
- AI
13h
Principal AI/ML Scientist & Engineer
Pipedrive —Dublin, County Dublin
- Full-time
- Hybrid work
- English
- AWS
- Mentoring
- Relocation assistance
- Annual leave
Quick apply
3d
Director, Software Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- No degree
Manager, Security Engineering, Differentiated Security Team
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
1d
Head of Professional Services
PFH Technology Group —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Management
Quick apply
3d
Senior Product Manager, International
CarGurus —Dublin, County Dublin
- €90,000–€108,000 a year
- Analysis skills
- Product management
- Communication skills
Azure Integration Engineer
Codec —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Oracle
- DevOps
Quick apply
6h
Director, Game Science & Insights
2K —Dublin, County Dublin
- Computer Science
- SQL
- Project management
Quick apply
8d
Business Development Executive
Learnosity —Dublin, County Dublin
- €45,000–€50,000 a year
- Full-time
- Hybrid work
- Computer Science
- Sales
- Salesforce
Quick apply
13d
Principal Web Application Architect
Hadfield Green —DUBLIN 2, County Dublin
- Full-time
- Presentation skills
- In-person
Backend Software Engineer
Grouper —Dublin, County Dublin
- Hybrid work
- Azure
- Computer Science
- Java
Quick apply
Senior Software Engineer, Observability
MongoDB —Dublin, County Dublin
- On call
- Azure
- Java
- AWS
Senior Manager, Architecture & Components
Bristol-Myers Squibb —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Azure
- Computer Science
2h

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AI Native SW Engineer - Manager

Accenture -
Dublin, County Dublin

Apply Now

Job details

Full-time
7 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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senior full stack engineer jobs

AI Native SW Engineer - Manager

AI Engineering Manager

Engineering Manager

Lead Engineer / Account Manager

Data Platform Engineer

Head of Engineering Delivery

Forward Deployed Engineer

Principal AI/ML Scientist & Engineer

Director, Software Engineering

Manager, Security Engineering, Differentiated Security Team

Head of Professional Services

Senior Product Manager, International

Azure Integration Engineer

Director, Game Science & Insights

Business Development Executive

Principal Web Application Architect

Backend Software Engineer

Senior Software Engineer, Observability

Senior Manager, Architecture & Components

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