Find Software engineer ai tooling Jobs in Sutton, D

AI Native SW Engineer
Accenture —Dublin, County Dublin
- Full-time
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Agentic AI - Senior Software Engineer
Mastercard —Dublin, County Dublin
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Site Reliability Engineer - Foundation Team
Global-e —Dublin, County Dublin
- Full-time
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Quick apply
Senior Full-Stack Engineer
StoneX Group —Dublin, County Dublin
- Azure
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Senior SRE, Ads
Reddit —Dublin, County Dublin
- On call
- Remote
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- Annual leave
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Senior Data Engineer
Datavant Ireland —Dublin, County Dublin
- Remote
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2d
Senior Staff Engineer
StoneX Group —Dublin, County Dublin
- Azure
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- English
2d
Enterprise Solutions Engineer, Service Management
Asana —Dublin, County Dublin
- €77,000–€98,000 a year
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- Work from home
Quick apply
3d
Senior Lead SRE (DSS)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
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Lead Sales Engineering Specialist - Security
Fivetran —Dublin, County Dublin
- Full-time
- Remote
- Azure
- Java
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- Annual leave
- Sick pay
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Lead UX Designer
ABC Fitness —Dublin, County Dublin
- €75,000–€85,000 a year
- Full-time
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- Research
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- Annual leave
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2d
Account Executive, Growth
Learnosity —Dublin, County Dublin
- €80,000–€100,000 a year
- Full-time
- Hybrid work
- Salesforce
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14d
Business Development Executive
Learnosity —Dublin, County Dublin
- €45,000–€50,000 a year
- Full-time
- Hybrid work
- Computer Science
- Sales
- Salesforce
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14d
Commercial Operations Engineer
Grandstand —Dublin, County Dublin
- AI
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2d
Staff Product Manager
Intercom —Dublin, County Dublin
- Hybrid work
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Senior Software Engineer, C2C Services
MongoDB —Dublin, County Dublin
- Azure
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Agentic AI - Lead Software Engineer
Mastercard —Dublin, County Dublin
- Full-time
- System design
- Java
- JavaScript
1d
Software Engineer III - AI & IoT
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- System design
- Java
22h
AI Native SW Engineer - Manager
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
1d

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AI Native SW Engineer

Accenture -
Dublin, County Dublin

Apply Now

Job details

Full-time
1 day 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

software engineer ai tooling jobs in sutton, d

AI Native SW Engineer

Agentic AI - Senior Software Engineer

Lead Software Engineer - Infrastructure Platforms

Site Reliability Engineer - Foundation Team

Senior Full-Stack Engineer

Senior SRE, Ads

Senior Data Engineer

Senior Staff Engineer

Enterprise Solutions Engineer, Service Management

Senior Lead SRE (DSS)

Lead Sales Engineering Specialist - Security

Lead UX Designer

Account Executive, Growth

Business Development Executive

Commercial Operations Engineer

Staff Product Manager

Senior Software Engineer, C2C Services

Agentic AI - Lead Software Engineer

Software Engineer III - AI & IoT

AI Native SW Engineer - Manager

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