Agentic AI Workflow Engineer

Mindtrace.ai; Manchester; Hybrid; GBP 90,000 - 140,000; Full time

Job summary

Mindtrace.ai is hiring an Agentic Workflow / AI Product Engineer to build the agentic workflow layer for its inspection products. This role focuses on creating agents that simplify deployment, diagnosis, explanation, support, and improvement of industrial AI systems.

You will craft production-quality agentic workflows around inspection evidence, deployment state, hardware health, logs, model outputs, and customer workflows, while ensuring human oversight and robust observability.

Qualifications

• Hands-on experience building agents or agentic workflows.
• Fluent in Python for application development, orchestration, and data processing.
• Experience with LLM or VLM patterns such as tool use, retrieval and memory/context management.
• Strong backend or full‑stack product engineering skills with APIs, databases, events and permissions.
• Ability to build reliable human‑in‑the‑loop AI workflows where agent actions are observable and bounded.
• Experience designing evaluation for AI systems, including regression testing and metrics.
• Comfort working with multimodal operational data including images, logs and model outputs.
• Clear communication and product judgement to translate ambiguous needs into usable workflows.

Responsibilities

• Build agentic workflows for Mindtrace inspection products, including deployment support, system health, incident triage, inspection explanation, reporting, and data‑curation loops.
• Develop agents that can use tools, inspect logs, retrieve relevant context, summarize evidence, recommend next actions, and package issues for escalation.
• Work on agentic product workflows that support deployment, inspection review, diagnostics, reporting, escalation, and continuous improvement.
• Integrate agents with product APIs, databases, image records, model outputs, configuration state, hardware status, support history, and customer‑specific metadata.
• Design agent workflows that sit inside real task surfaces rather than generic chatbot experiences.
• Build evaluation and observability for agent behaviour, including tool‑call history, task success metrics, regression tests, failure modes, traceability, and guardrails.
• Collaborate with ML, product, hardware, client, and deployment teams to turn field experience into reusable product knowledge.
• Help define where agents should explain, recommend, summarize, prepare actions, or elevate, while preserving clear human authority for consequential production decisions.
• Prototype quickly, but harden the right workflows into maintainable product features.

Skills

Python

Agentic workflows

LLM/VLM apps

Backend engineering

Observability

Tool integration

Multimodal data

Tools

APIs

Databases

Logs analysis

Vector databases

Knowledge retrieval

Job description

Mindtrace.ai is hiring an Agentic Workflow / AI Product Engineer to build the agentic workflow layer for its inspection products. This role focuses on creating agents that simplify deployment, diagnosis, explanation, support, and improvement of industrial AI systems.

You will craft production-quality agentic workflows around inspection evidence, deployment state, hardware health, logs, model outputs, and customer workflows, while ensuring human oversight and robust observability.