Find Lead software engineer python Jobs in Ballymount, D

AI Native SW Engineer - Manager
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
Network Development Engineer, Network - Core
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- AWS
- Scripting
- Linux
Director of Software Engineering - Workplace Technology
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
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Principal Software Engineer — Cloud Agentic AI Platform
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Java
- Master's degree
2d
System Development Engineer II, Enterprise Productivity MailBoxCore Team
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- DevOps
- Java
Senior Cloud Engineer (Voice Network)
Sprinklr —Dublin, County Dublin
- Full-time
- Azure
- Management
- Social media management
- Annual leave
Lead Cloud Engineer
Sprinklr —Dublin, County Dublin
- Full-time
- Azure
- Management
- Social media management
- Annual leave
Site Reliability Engineer - Cloud Infrastructure
TikTok —Dublin, County Dublin
- Computer Science
- Java
- Master's degree
Lead Infrastructure Engineer (Workplace Solutions)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Windows
- Java
9d
Senior DevOps Engineer
Amach Talent —Dublin, County Dublin
- AWS
- Scripting
- Communication skills
Quick apply
Tech Lead
Rain Technologies Inc. —Dublin, County Dublin
- Full-time
- Remote
- System design
- SQL
- AWS
Quick apply
Senior Systems Engineer
Innalabs —DUBLIN 15, County Dublin
- Full-time
- Engineering
- Data analysis skills
- System design
- Free parking
- Annual leave
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Lead Software Engineer (Backend, AWS)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- System design
- Java
- AWS
Senior Software Engineer
Salesforce —Dublin, County Dublin
- Full-time
- Salesforce
- Java
- AWS
Technical Services Engineer
MongoDB —Dublin, County Dublin
- Every weekend
- Remote
- Azure
- Java
- AWS
Application Support Engineer
Millennium Management —Dublin, County Dublin
- Computer Science
- Java
- AWS
Lead Software Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- System design
- Master's degree
Staff Machine Learning Engineer
Sonatus —Dublin, County Dublin
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
- Work from home
Quick apply
Senior Manager Data Architecture and AI
Aptiv plc —Dublin, County Dublin
- Azure
- Computer Science
- Java
- Gym membership
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 - Manager

Accenture -
Dublin, County Dublin

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Job details

Full-time

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

lead software engineer python jobs in ballymount, d

AI Native SW Engineer - Manager

Network Development Engineer, Network - Core

Director of Software Engineering - Workplace Technology

Principal Software Engineer — Cloud Agentic AI Platform

System Development Engineer II, Enterprise Productivity MailBoxCore Team

Senior Cloud Engineer (Voice Network)

Lead Cloud Engineer

Site Reliability Engineer - Cloud Infrastructure

Lead Infrastructure Engineer (Workplace Solutions)

Senior DevOps Engineer

Tech Lead

Senior Systems Engineer

Lead Software Engineer (Backend, AWS)

Senior Software Engineer

Technical Services Engineer

Application Support Engineer

Lead Software Engineer

Staff Machine Learning Engineer

Senior Manager Data Architecture and AI

Staff Site Reliability Engineer

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