Find Stack software engineer team lead, charles river development, assistant vice Jobs in Ashbourne, Mh

AI Native SW Engineer
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
7d
Senior Software Engineer
Vectra —Dublin, County Dublin
- Azure
- Engineering
- AWS
- Life insurance
Quick apply
Credit Analyst - Subsidiary Lending Group
Bank of America —Dublin, County Dublin
- Full-time
- Banking
- Employee assistance program
Technical Product Manager - Investments
Marsh —Dublin, County Dublin
- Full-time
- Management
- Project management
- Organisational skills
Fund Accounting, AVP
State Street —Dublin, County Dublin
- Full-time
- Organisational skills
- Accounting
- Communication skills
8d
Lead Engineer - AI Agents
M-KOPA —Dublin, County Dublin
- Full-time
- Remote
- AI
- Leadership
Lead Software Engineer - Financial Wellness
Gen Digital Inc. —Dublin, County Dublin
- Full-time
- Hybrid work
- System design
- Java
- AWS
Quick apply
Controls Business Partner
Barclays —Dublin, County Dublin
- From €56,000 a year
Staff Engineer
Solance —Dublin, County Dublin
- Full-time
- Hybrid work
- System design
- Java
- AWS
Quick apply
Senior Engineer, Infrastructure Platform
Intercom —Dublin, County Dublin
- Hybrid work
- AWS
- Annual leave
- Work from home
Operations Technician
Charles River Laboratories —Dublin, County Dublin
- Full-time
- Sales
- Microsoft Office
- No degree
- Annual leave
Staff Technical Program Manager, Site Reliability Engineering
MongoDB —Dublin, County Dublin
- Remote
- Azure
- AWS
- SDLC
Principal Software Engineer
Global-e —Dublin, County Dublin
- Full-time
- AWS
- No degree
- Agile
Quick apply
Project Manager - CRD Upgrades
Qode —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Bachelor's degree
- Business
Quick apply
9d
Warehouse Operator
Charles River Laboratories —Dublin, County Dublin
- Full-time
- Leaving certificate
- No degree
- Organisational skills
- Annual leave
- Employee discount
Senior Azure Integration Engineer
Codec —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Oracle
- DevOps
Quick apply
7d
Automation Engineer DeltaV
Cognizant —Dublin, County Dublin
- Full-time
- Hybrid work
- No degree
8d
Senior Product Marketing Manager
Intercom —Dublin, County Dublin
- Hybrid work
- Research
- Marketing
- Annual leave
- Work from home
TA Investor Dealing Senior Analyst
BNP Paribas —Dublin, County Dublin
- Full-time
- Microsoft Office
- Accounting
- Business
- Annual leave
3d
Senior Product Security Engineer, Server
MongoDB —Dublin, County Dublin
- Hybrid work
- Azure
- AWS
- C++

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AI Native SW Engineer

Accenture -
Dublin, County Dublin

Apply Now

Job details

Full-time
7 days 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

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 ashbourne, mh

AI Native SW Engineer

Senior Software Engineer

Credit Analyst - Subsidiary Lending Group

Technical Product Manager - Investments

Fund Accounting, AVP

Lead Engineer - AI Agents

Lead Software Engineer - Financial Wellness

Controls Business Partner

Staff Engineer

Senior Engineer, Infrastructure Platform

Operations Technician

Staff Technical Program Manager, Site Reliability Engineering

Principal Software Engineer

Project Manager - CRD Upgrades

Warehouse Operator

Senior Azure Integration Engineer

Automation Engineer DeltaV

Senior Product Marketing Manager

TA Investor Dealing Senior Analyst

Senior Product Security Engineer, Server

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