Find Software engineer ai tooling Jobs in Sutton, D

AI Native SW Engineer
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
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3d
AI Native SW Engineer - Manager
Accenture —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
2d
Lead Software Engineer - Infrastructure Platforms
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
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3d
Software Engineer III - Python
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- System design
- AWS
- Agile
1d
Senior Software Architect (100% Remote - Worldwide)
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- English
- Bachelor's degree
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3d
Sr. SDE, Amazon Email Services
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Java
- AWS
Principal Engineer, Design Verification Engineering
Analog Devices —Dublin, County Dublin
- Full-time
- Master's degree
- Scripting
- Electrical Engineering
- Relocation assistance
Lead Engineer - AI Agents
M-KOPA —Dublin, County Dublin
- Full-time
- Remote
- AI
- Leadership
11d
Application Support Engineer
Millennium Management —Dublin, County Dublin
- Computer Science
- Java
- AWS
Technical Escalations Engineer 2 (Network Monitoring) - EMEA
Datadog —Dublin, County Dublin
- On call
- Windows
- Linux
- Employee stock purchase plan
Quick apply
8d
Infrastructure Engineer
Crusoe —Dublin, County Dublin
- Full-time
- Computer Science
- Analysis skills
- Bachelor's degree
Quick apply
Senior AI Engineer
Marsh —Dublin, County Dublin
- Full-time
- Master's degree
- AI
- Communication skills
Site Reliability Engineer III
Guidewire Software —Dublin, County Dublin
- Full-time
- Oracle
- Computer Science
- DevOps
Senior Software Engineer - Commerce Hub
Fiserv —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AWS
12d
Senior Engineering Manager, Fin AI Agent
Intercom —Dublin, County Dublin
- Hybrid work
- AI
- Annual leave
- Work from home
Senior Software Engineer, Cloud Security
Iambic Therapeutics, Inc —Dublin, County Dublin
- Full-time
- Hybrid work
- Master's degree
- AWS
- Bachelor's degree
Senior Software Engineer - Core Team
Userpilot —Dublin, County Dublin
- Full-time
- Hybrid work
- System design
- AWS
- Communication skills
Quick apply
Director, Game Science & Insights
2K —Dublin, County Dublin
- Computer Science
- SQL
- Project management
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11d
Data Platform Engineer
Supermetrics —Dublin, County Dublin
- SQL
- Software development
- AI
Quick apply
Senior Security Engineer
Cubic³ —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- Windows

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AI Native SW Engineer

Accenture -
Dublin, County Dublin

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Job details

Full-time
3 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

software engineer ai tooling jobs in sutton, d

AI Native SW Engineer

AI Native SW Engineer - Manager

Lead Software Engineer - Infrastructure Platforms

Software Engineer III - Python

Senior Software Architect (100% Remote - Worldwide)

Sr. SDE, Amazon Email Services

Principal Engineer, Design Verification Engineering

Lead Engineer - AI Agents

Application Support Engineer

Technical Escalations Engineer 2 (Network Monitoring) - EMEA

Infrastructure Engineer

Senior AI Engineer

Site Reliability Engineer III

Senior Software Engineer - Commerce Hub

Senior Engineering Manager, Fin AI Agent

Senior Software Engineer, Cloud Security

Senior Software Engineer - Core Team

Director, Game Science & Insights

Data Platform Engineer

Senior Security Engineer

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