Find Lead software engineer python Jobs in Santry, D

AI Native SW Engineer - Manager
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AI Builder, Emerging Talent Senior Manager
Salesforce —Dublin, County Dublin
- Full-time
- Computer science
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Lead Software Engineer - AI Tooling
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
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Lead Infrastructure Engineer (Workplace Solutions)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Windows
- Java
10d
Business Support Engineer
Meta —Dublin, County Dublin
- Weekend availability
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11d
Hardware Solutions Engineer
AMAX —Dublin, County Dublin
- Full-time
- Computer Science
- Analysis skills
- Bachelor's degree
Quick apply
Lead Software Engineer (DevOps)
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
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Staff Machine Learning Engineer
Sirius XM —Dublin, County Dublin
- Full-time
- Remote
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German-Speaking Technical Support Engineer - Elastic Cloud Storage
Dell Technologies —Dublin, County Dublin
- Weekend availability
- Customer service
- English
- Windows
Senior Manager Data Architecture and AI
Aptiv plc —Dublin, County Dublin
- Azure
- Computer Science
- Java
- Gym membership
Lead Software Engineer - Infrastructure Platforms
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Engineering
- Java
- C++
Director of Software Engineering - Workplace Technology
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
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Network Development Engineer, Network - Core
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- AWS
- Scripting
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Director of Software Engineering
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Java
- C++
- Mentoring
AI Engineer @ The Dock
Accenture —DUBLIN 2, County Dublin
- €40,000 a year
- Full-time
- Azure
- Computer Science
- Software troubleshooting
- Gym membership
Quick apply
Software Engineering Lead - Infrastructure Platforms
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Engineering
- Java
- C++
Lead Site Reliability Engineer
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Engineering
- Java
- C++
Senior Systems Engineer
Innalabs —DUBLIN 15, County Dublin
- Full-time
- Engineering
- Data analysis skills
- System design
- Free parking
- Annual leave
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Staff Machine Learning Engineer
Adswizz —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Java
Principal Software Engineer — Cloud Agentic AI Platform
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Java
- Master's degree
3d

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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 santry, d

AI Native SW Engineer - Manager

AI Builder, Emerging Talent Senior Manager

Lead Software Engineer - AI Tooling

Lead Infrastructure Engineer (Workplace Solutions)

Business Support Engineer

Hardware Solutions Engineer

Lead Software Engineer (DevOps)

Staff Machine Learning Engineer

German-Speaking Technical Support Engineer - Elastic Cloud Storage

Senior Manager Data Architecture and AI

Lead Software Engineer - Infrastructure Platforms

Director of Software Engineering - Workplace Technology

Network Development Engineer, Network - Core

Director of Software Engineering

AI Engineer @ The Dock

Software Engineering Lead - Infrastructure Platforms

Lead Site Reliability Engineer

Senior Systems Engineer

Staff Machine Learning Engineer

Principal Software Engineer — Cloud Agentic AI Platform

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