Find Senior software engineer python Jobs in Ashbourne, Mh

AI Native SW Engineer - Manager
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
5h
Lead Software Engineer - Infrastructure Platforms
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Engineering
- Java
- C++
18h
Senior Software Security Engineer
Dolby —Dublin, County Dublin
- English
- Analysis skills
- C++
Senior Lead Engineer - Future Operations
Eirgrid —Dublin, County Dublin
- Full-time
- Analysis skills
- Organisational skills
- Electrical Engineering
Quick apply
Senior DevOps Engineer
Newcode.ai —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- English
- AI
Quick apply
Senior Platform Support Engineer
Autodesk —Dublin, County Dublin
- Full-time
- DevOps
- Master's degree
- AWS
Senior AWS Engineer
ResMed —Dublin, County Dublin
- Full-time
- Computer Science
- Salesforce
- DevOps
- Referral programme
Senior Support Engineer - Dublin
OpenAI —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- Scripting
- Relocation assistance
- Annual leave
Sr Machine Learning Engineer
paypal —Dublin, County Dublin
- Full-time
- Azure
- Engineering
- Java
- Annual leave
Senior AI Engineer
Marsh —Dublin, County Dublin
- Full-time
- Master's degree
- AI
- Communication skills
German-Speaking Technical Support Engineer - Elastic Cloud Storage
Dell Technologies —Dublin, County Dublin
- Weekend availability
- Customer service
- English
- Windows
14d
Senior Data Engineer
Datavant Ireland —Dublin, County Dublin
- Remote
- Azure
- SQL
- AWS
Quick apply
1d
Senior Automation / OT Consultant
NNIT A/S —Dublin, County Dublin
- Azure
- English
- Java
Senior Platform Engineer
Autodesk —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- DevOps
Software Architect
Holafly —Dublin, County Dublin
- Remote
- Spanish
- System design
- English
Senior Manager of Data Engineering
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- SQL
- AWS
- AI
10d
Senior Backend Engineer
Rain Technologies Inc. —Dublin, County Dublin
- Full-time
- Remote
- Azure
- SQL
- AWS
Quick apply
2d
Senior Cloud Engineer
Sprinklr —Dublin, County Dublin
- Full-time
- Azure
- Management
- Social media management
- Annual leave
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
13d

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AI Native SW Engineer - Manager

Accenture -
Dublin, County Dublin

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Job details

Full-time
5 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 ashbourne, mh

AI Native SW Engineer - Manager

Lead Software Engineer - Infrastructure Platforms

Senior Software Security Engineer

Senior Lead Engineer - Future Operations

Senior DevOps Engineer

Senior Platform Support Engineer

Senior AWS Engineer

Senior Support Engineer - Dublin

Sr Machine Learning Engineer

Senior AI Engineer

German-Speaking Technical Support Engineer - Elastic Cloud Storage

Senior Data Engineer

Senior Automation / OT Consultant

Senior Platform Engineer

Software Architect

Senior Manager of Data Engineering

Senior Backend Engineer

Senior Cloud Engineer

Staff Site Reliability Engineer

Data Engineering Lead

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