Enterprise AI Agent Engineer: Production & Governance

Kaidon.ai; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Deliverance AI in a hybrid London and Dublin setting seeks an Agentic AI Engineer to design and ship production AI agent systems for enterprise clients, focusing on governance, audit trails, and PII redaction.

You'll build multi-agent workflows, implement RAG pipelines and tool integrations, and ensure deployments meet Trust Architecture standards with robust Python, Docker/Kubernetes, and CI/CD capabilities.

Qualifications

• 4-8 years in software engineering, with 2+ years focused on AI/ML or LLM application development.
• Strong Python skills and hands-on experience with LLM/agent frameworks such as LangChain, LlamaIndex, CrewAI, or AutoGen.
• Demonstrated agentic AI experience: tool use, function calling, and multi-agent orchestration.
• Production engineering skills: API design, containerisation (Docker/Kubernetes), CI/CD, and observability.

Responsibilities

• Design and deploy production AI agent systems for enterprise clients on the Deliverance AI platform
• Build multi-agent workflows using Swarm patterns, including orchestrators coordinating specialist agents
• Configure and extend agents from the platform library across multiple enterprise domains
• Implement RAG pipelines, model routing, and tool integrations for client-specific workflows
• Ensure all deployments meet Trust Architecture standards: audit trails, PII redaction, and human-in-the-loop gates
• Contribute novel agent patterns, prompt templates, and evaluation frameworks back to the platform

Skills

Python

LangChain

LlamaIndex

CrewAI

AutoGen

LLM apps

AI/ML

Multi-agent orchestration

API design

Docker

Kubernetes

CI/CD

Observability

Tools

Docker

Kubernetes

LangChain

LlamaIndex

CrewAI

AutoGen

Job description

Deliverance AI in a hybrid London and Dublin setting seeks an Agentic AI Engineer to design and ship production AI agent systems for enterprise clients, focusing on governance, audit trails, and PII redaction.

You'll build multi-agent workflows, implement RAG pipelines and tool integrations, and ensure deployments meet Trust Architecture standards with robust Python, Docker/Kubernetes, and CI/CD capabilities.