Agentic AI Engineer

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

Agentic AI Engineer

Deliverance AI

hybrid London, Dublin full time

Visa sponsorship: not available

About the role

Deliverance AI is building an Enterprise AI Operating System that provides governed, production-grade AI infrastructure to large regulated organisations in pharma, financial services, and telecoms. This role sits within the Forward Deployed Engineering team and focuses on designing and shipping production AI agent systems for enterprise clients - not research prototypes. Day-to-day work involves building multi-agent workflows, implementing RAG pipelines, configuring model routing, and ensuring every deployment meets strict governance requirements such as audit trails and PII redaction. The role offers meaningful influence over how autonomous AI operates inside large enterprises, with direct customer impact.

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

Requirements

• 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

Nice to have

• RAG expertise: vector stores, embedding models, and retrieval strategies
• Understanding of enterprise AI governance: audit trails, RBAC, and EU AI Act compliance
• Open-source AI contributions