AI Workflow Development Engineer - LLM | RAG

Korn Ferry; Birmingham; On-site; GBP 60,000 - 90,000; Full time

Job summary

Korn Ferry Group is seeking an experienced AI Workflow Development Engineer in the United Kingdom to design and deliver AI-powered workflows that automate complex operational processes. The role focuses on LLMs, RAG, and agentic AI to reduce manual effort across exception handling, reporting, and decision-support tasks.

You will collaborate with business and operations teams to translate existing processes into scalable AI-driven solutions and develop both proof-of-concept and production-ready

Qualifications

• Hands-on experience building AI/LLM applications beyond model experimentation.
• Experience translating complex business processes into automated AI workflows.
• Ability to design scalable AI-powered solutions across data and operational workflows.

Responsibilities

• Build AI-powered workflows for exception handling, triage, categorisation and decision support.
• Develop agents capable of processing data-quality issues and natural-language exceptions.
• Create automation for operational and reporting workflows.
• Develop natural-language matching and classification capabilities.
• Build proof-of-concept and production-ready LLM applications.
• Collaborate with business stakeholders to map manual processes to automated workflows.

Skills

AI/ML workflows

LLMs

RAG

Workflow automation

Data quality

Tools

LangChain

AWS

Job description

We are looking for an experienced AI Workflow Development Engineer to build AI-powered applications that automate complex operational processes. The role will focus on using LLMs, RAG and agentic AI to reduce manual effort across exception handling, reporting, classification and decision-support workflows. You will work closely with business and operational stakeholders to understand existing processes and translate them into scalable AI-driven applications. Key Responsibilities

• Build AI-powered workflows for exception handling, triage, categorisation and decision support.
• Develop agents capable of processing data-quality issues and natural-language exceptions.
• Build automation for operational and reporting workflows.
• Develop natural-language matching and classification capabilities.
• Build both proof-of-concept and production-ready LLM applications.
• Work with business and operations stakeholders to translate manual processes and decision points into automated workflows.
• Support future use cases including rule interpretation, transformation logic and code generation
  Strong hands-on experience building AI/LLM applications, beyond model experimentation.
• Commercial experience with LangChain.
• Strong AWS experience.
• Proven experience implementing RAG (Retrieval-Augmented Generation) solutions.
• Experience developing agentic AI/automated workflows.
• Strong application development and workflow automation skills.