Find Lead full stack Jobs in Clonee, Mh

AI Native SW Engineer
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
7d
Lead Backend Developer
Citi —Dublin, County Dublin
- €93,280 a year
- Full-time
- Hybrid work
- Azure
- Java
- Master's degree
Director, Software Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- No degree
Senior Software Engineer, AWS Lambda Experience
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Java
- AWS
9d
Digital Cloud Solution Engineer Cloud & AI (Apps & AI) - Benelux Region
Microsoft —Dublin, County Dublin
- €50,500–€84,100 a year
- Full-time
- Azure
- Computer Science
- Sales
2d
AI Native SW Engineer - Manager
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
7d
Senior Flutter Developer
Holafly —Dublin, County Dublin
- Remote
- Master's degree
- AI
- Communication skills
- Relocation assistance
- Annual leave
Principal Software Engineer - Architecture
Mastercard —Dublin, County Dublin
- Full-time
- Java
- Software development
- Leadership
Principal AI/ML Scientist & Engineer
Pipedrive —Dublin, County Dublin
- Full-time
- Hybrid work
- English
- AWS
- Mentoring
- Relocation assistance
- Annual leave
Quick apply
10d
Director of Software Engineering - Workforce ExperienceTechnology
JPMorganChase —DUBLIN 1, County Dublin
- Full-time
- Oracle
- Java
- AWS
Senior Staff Software Engineer, Perception
AeroVect —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Master's degree
Director, Finance Transformation
KAYAK —DUBLIN 2, County Dublin
- Full-time
- Remote
- Computer Science
- Engineering
- ERP systems
- Annual leave
- Employee assistance program
Quick apply
Senior Lead Software Engineer
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Computer Science
- Java
13d
DC Architect
Tata Consultancy Services —Dublin, County Dublin
- Call to connect
- Azure
- AWS
- Mentoring
Director of Software Engineering - Workplace Technology
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Computer Science
- Java
6d
Head of Professional Services
PFH Technology Group —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Management
Quick apply
10d
PRINCIPAL AUTOMATION ENGINEER
Réalta Technologies (RT) —Dublin, County Dublin
- Full-time
- Bachelor's degree
- No degree
- Mentoring
Head of EMEA Partnerships
Crusoe —Dublin, County Dublin
- Full-time
- Sales
- Bachelor's degree
- In-person
Quick apply
Senior Marketing Manager
Wrike —Dublin, County Dublin
- Remote
- Sales
- Marketing
- English
- Annual leave
- Life insurance
Quick apply
Staff Site Reliability Engineer
Replit —Dublin, County Dublin
- Full-time
- Remote
- Mentoring
- Communication skills
- Python
- Life insurance

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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 clonee, mh

AI Native SW Engineer

Lead Backend Developer

Director, Software Engineering

Senior Software Engineer, AWS Lambda Experience

Digital Cloud Solution Engineer Cloud & AI (Apps & AI) - Benelux Region

AI Native SW Engineer - Manager

Senior Flutter Developer

Principal Software Engineer - Architecture

Principal AI/ML Scientist & Engineer

Director of Software Engineering - Workforce ExperienceTechnology

Senior Staff Software Engineer, Perception

Director, Finance Transformation

Senior Lead Software Engineer

DC Architect

Director of Software Engineering - Workplace Technology

Head of Professional Services

PRINCIPAL AUTOMATION ENGINEER

Head of EMEA Partnerships

Senior Marketing Manager

Staff Site Reliability Engineer

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