Find Stack software engineer team lead, charles river development, assistant vice Jobs in Dublin, D

AI Native SW Engineering Consultant
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
AI Native SW Engineer - Manager
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
Manager, Software Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- English
- Java
Engineering Manager, Site Reliability Engineering, Alphanet SRE
Google —Dublin, County Dublin
- €150,000–€153,000 a year
- Full-time
- Computer Science
- System design
- Master's degree
8d
International Wealth Investor Relations - Associate / AVP
Kohlberg Kravis Roberts & Co. —Dublin, County Dublin
- English
- No degree
Senior Product Security Engineer, Server
MongoDB —Dublin, County Dublin
- Hybrid work
- Azure
- AWS
- C++
Data Engineer
Grouper —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
Quick apply
Backend Software Engineer
Grouper —Dublin, County Dublin
- Hybrid work
- Azure
- Computer Science
- Java
Quick apply
Cloud Platform Engineer
Grouper —Dublin, County Dublin
- Full-time
- Remote
- Azure
- Java
- AWS
Quick apply
Senior Software Engineer, Observability
MongoDB —Dublin, County Dublin
- On call
- Azure
- Java
- AWS
Staff Engineer
MongoDB —Dublin, County Dublin
- On call
- Azure
- Java
- AWS
Staff Engineer, Observability
MongoDB —Dublin, County Dublin
- On call
- Azure
- Java
- AWS
Senior Software Engineer, Server Networking Security (Rust)
MongoDB —Dublin, County Dublin
- Azure
- AWS
- Bachelor's degree
Manager, Site Reliability Engineering - Storage Layer Service
MongoDB —Dublin, County Dublin
- Hybrid work
- Microsoft Excel
- Azure
- AWS
Staff Software Engineer, Server Networking Security (Rust)
MongoDB —Dublin, County Dublin
- Azure
- Research
- AWS
Engineering Manager, Server Networking Security (Rust)
MongoDB —Dublin, County Dublin
- Hybrid work
- Azure
- AWS
- Mentoring
Software Development Engineer, Lambda - Experience
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- AWS
- Bachelor's degree
- Relocation assistance
21h
Software Development Engineer, Lambda - Experience
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- AWS
- Bachelor's degree
- Relocation assistance
21h
Software Engineering Manager, Site Reliability Engineering, Turnup Org
Google —Dublin, County Dublin
- €150,000–€153,000 a year
- Full-time
- Computer Science
- System design
- Master's degree
4h

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AI Native SW Engineer - Manager
Accenture —Dublin, County Dublin
Own LLMOps at programme scale: eval strategy, prompt governance, observability tooling standards, safety monitoring and cost controls across multiple concurrent…

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AI Native SW Engineering Consultant

Accenture -
Dublin, County Dublin

Apply Now

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

Design and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability

Build and own RAG pipelines: embeddings, chunking strategy, vector search, context window engineering and tuning against real quality targets

Integrate and abstract across multiple LLM providers — OpenAI, Anthropic, Vertex AI, and open-source models — with fallback routing, token, cost, and latency management

Implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring

Embed directly with client engineering teams to design, prototype, and deploy agentic solutions — workshops, proofs of concept, code-with sessions, and architecture walkthroughs

Build reusable patterns, accelerators, and playbooks that scale beyond the individual client engagement and enable the next one to start faster

Define and use metrics to measure agent accuracy, latency, safety, and cost-effectiveness; present findings and recommendations to client stakeholders in business terms

Software engineering experience 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

#LI-EU

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Refine Your Search

stack software engineer team lead, charles river development, assistant vice jobs in dublin, d

AI Native SW Engineering Consultant

AI Native SW Engineer - Manager

Manager, Software Engineering

Engineering Manager, Site Reliability Engineering, Alphanet SRE

International Wealth Investor Relations - Associate / AVP

Senior Product Security Engineer, Server

Data Engineer

Backend Software Engineer

Cloud Platform Engineer

Senior Software Engineer, Observability

Staff Engineer

Staff Engineer, Observability

Senior Software Engineer, Server Networking Security (Rust)

Manager, Site Reliability Engineering - Storage Layer Service

Staff Software Engineer, Server Networking Security (Rust)

Engineering Manager, Server Networking Security (Rust)

Software Development Engineer, Lambda - Experience

Software Development Engineer, Lambda - Experience

Software Engineering Manager, Site Reliability Engineering, Turnup Org

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