Agentic AI Engineer — AI Workflows & Orchestration

Apexon; Birmingham; On-site; GBP 65,000 - 90,000; Full time

Job summary

Apexon is seeking an experienced software/AI engineer to design, build and operate agentic AI workflows within enterprise data environments in the UK. You will develop Python-based services, integrate with APIs and databases, and implement guardrails, testing and observability to production standards.

Ideal candidates have 5–8 years in software/AI/ML roles, hands-on experience with GenAI applications beyond PoC, and a track record delivering production-grade workflows across onshore/offshore

Qualifications

• 5–8 years of professional experience in software engineering, AI/ML engineering, data engineering, GenAI or related roles.
• Demonstrated experience building LLM/GenAI applications beyond proof-of-concept chatbots.
• Practical experience implementing agentic workflows, tools or orchestration.

Responsibilities

• Build AI workflows for exception classification, triage, root-cause analysis, impact assessment and remediation recommendations.
• Develop agentic workflows involving orchestration, tool/function calling, state management and human-in-the-loop validation.
• Collaborate with onshore AI engineers, architects, business analysts, data engineers and application teams.

Skills

LLM/GenAI applications

Agentic workflows

Data engineering

Python

Problem-solving

Education

Bachelor's or Master's in CS/Engineering/AI/Data Science

Tools

Python

REST APIs

LLM/GenAI frameworks

Job description

Apexon is seeking an experienced software/AI engineer to design, build and operate agentic AI workflows within enterprise data environments in the UK. You will develop Python-based services, integrate with APIs and databases, and implement guardrails, testing and observability to production standards.

Ideal candidates have 5–8 years in software/AI/ML roles, hands-on experience with GenAI applications beyond PoC, and a track record delivering production-grade workflows across onshore/offshore