Find Senior software engineer (python) Jobs in North Dublin, D

AI Native SW Engineer - Manager
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
Senior Forward Deployed Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- JavaScript
- In-person
- Communication skills
- Work from home
Lead Platform Engineer New
Kohlberg Kravis Roberts & Co. —Dublin, County Dublin
- Computer Science
- DevOps
- Engineering
4d
Senior AI Engineer
Sonatus —Dublin, County Dublin
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Quick apply
Senior Site Reliability engineer
Guidewire Software —Dublin, County Dublin
- Weekend availability
- Oracle
- Computer Science
- DevOps
Senior AI Large Language Model (LLM) Architect
Accenture —Dublin, County Dublin
- Full-time
- Master's degree
- Bachelor's degree
- AI
Data Engineer
Kitman Labs —Dublin, County Dublin
- Full-time
- Hybrid work
- SQL
- AWS
- AI
Senior Software Security Engineer
Dolby —Dublin, County Dublin
- English
- Analysis skills
- C++
Senior Systems Engineer
Innalabs —DUBLIN 15, County Dublin
- Full-time
- Engineering
- Data analysis skills
- System design
- Free parking
- Annual leave
Quick apply
Senior SDK Hardware Simulator Engineer
Innatera Nanosystems —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- C++
Quick apply
Senior Software Developer, Vehicle Applications Software
Sonatus —Dublin, County Dublin
- Computer Science
- C++
- Bachelor's degree
Quick apply
Senior DevOps Engineer
Newcode.ai —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- English
- AI
Quick apply
Lead Software Engineer - Financial Wellness
Gen Digital Inc. —Dublin, County Dublin
- Full-time
- Hybrid work
- System design
- Java
- AWS
Quick apply
Senior Product Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- AWS
- JavaScript
- No degree
- Work from home
Senior AI/ML Computational Scientist
Accenture —Dublin, County Dublin
- Full-time
- Computer science
- Doctoral degree
- Computer Science
AI Infrastructure Architect
Accenture —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- Java
5d
Principal Software Engineer — Cloud Agentic AI Platform
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Java
- Master's degree
10d
Director of Software Engineering - Workplace Technology
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Computer Science
- Java
Senior Site Reliability Engineer - CloudVision
Arista Networks —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- Software troubleshooting
Quick apply
Senior Manager Data Science
Optum —Dublin, County Dublin
- Full-time
- Management
- Doctoral degree
- Data analysis skills
13d

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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

senior software engineer (python) jobs in north dublin, d

AI Native SW Engineer - Manager

Senior Forward Deployed Engineer

Lead Platform Engineer New

Senior AI Engineer

Senior Site Reliability engineer

Senior AI Large Language Model (LLM) Architect

Data Engineer

Senior Software Security Engineer

Senior Systems Engineer

Senior SDK Hardware Simulator Engineer

Senior Software Developer, Vehicle Applications Software

Senior DevOps Engineer

Lead Software Engineer - Financial Wellness

Senior Product Engineer

Senior AI/ML Computational Scientist

AI Infrastructure Architect

Principal Software Engineer — Cloud Agentic AI Platform

Director of Software Engineering - Workplace Technology

Senior Site Reliability Engineer - CloudVision

Senior Manager Data Science

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