Find Senior software engineer python Jobs in Dunboyne, Mh

AI Native SW Engineer - Manager
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
16h
Senior Product Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- AWS
- JavaScript
- No degree
- Annual leave
- Work from home
Senior Manager of Data Engineering
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- SQL
- AWS
- AI
10d
Staff Site Reliability Engineer
Replit —Dublin, County Dublin
- Full-time
- Remote
- Mentoring
- Communication skills
- Python
- Life insurance
Data Engineering Lead
Wibit Consulting & Services (WibitCS) —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Java
Quick apply
14d
Senior Technical Support Engineer
Sprinklr —Dublin, County Dublin
- Full-time
- Spanish
- Microsoft Excel
- Management
- Annual leave
16h
Sr. Lead Security Engineer
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Engineering
- Java
Director, Game Science & Insights
2K —Dublin, County Dublin
- Computer Science
- SQL
- Project management
Quick apply
8d
Process Automation Lead - Arachas Location
Ardonagh Europe —Dublin, County Dublin
- Hybrid work
- Computer Science
- Salesforce
- Java
Senior SRE, Ads
Reddit —Dublin, County Dublin
- On call
- Remote
- Linux
- Python
- Annual leave
Quick apply
Manager, Support Engineering
Wiz, Inc. —Dublin, County Dublin
- Remote
- Azure
- Computer Science
- Engineering
Quick apply
Staff Certification and Compliance Engineer
Analog Devices —Glasnevin, County Dublin
- Full-time
- System design
- Mechanical knowledge
- Python
Director Cloud Platform
Guidewire Software —Dublin, County Dublin
- Weekend availability
- Doctoral degree
- Java
- Master's degree
Senior Manager of SRE
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Oracle
- Java
6d
Senior Manager, Architecture & Components
Bristol-Myers Squibb —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Azure
- Computer Science
12h
Sr. Data Scientist (Hybrid, IRE)
CrowdStrike —Dublin, County Dublin
- Full-time
- Computer Science
- Research
- Bachelor's degree
Process Automation Lead - Arachas Location
Arachas —Sandyford, County Dublin
- Hybrid work
- Computer Science
- Salesforce
- Java
Senior Production Engineer
Crusoe —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- No degree
Quick apply
4d
Engineering Manager
Learnosity —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- AWS
- Annual leave
- Employee assistance program
Quick apply
Senior Lead SRE (DSS)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Oracle
- Java
2d

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AI Native SW Engineer - Manager

Accenture -
Dublin, County Dublin

Apply Now

Job details

Full-time
16 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 software engineer python jobs in dunboyne, mh

AI Native SW Engineer - Manager

Senior Product Engineer

Senior Manager of Data Engineering

Staff Site Reliability Engineer

Data Engineering Lead

Senior Technical Support Engineer

Sr. Lead Security Engineer

Director, Game Science & Insights

Process Automation Lead - Arachas Location

Senior SRE, Ads

Manager, Support Engineering

Staff Certification and Compliance Engineer

Director Cloud Platform

Senior Manager of SRE

Senior Manager, Architecture & Components

Sr. Data Scientist (Hybrid, IRE)

Process Automation Lead - Arachas Location

Senior Production Engineer

Engineering Manager

Senior Lead SRE (DSS)

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