Solutions Engineer

Designing and building automation flows in the DigitalGenius platform for complex, high-volume use cases

Integrating the platform with the client's ecosystem (Shopify, Zendesk, Gorgias, Loop, OMS platforms, carriers) via APIs and webhooks

Building custom actions in Python where a use case needs one

Prompting, tuning and evaluating the LLM components that decide what the agent does

Troubleshooting behaviour across systems, data and AI, often live with the client

Reporting results back in a way a non-technical stakeholder can act on, and growing the account into new use cases

Taking what you see in real implementations back to Product, so the platform grows in the direction clients need

Working hours: Aligned to UK business hours (GMT/BST)

Requirements

Required

2+ years in a technical role working directly with external clients: solutions engineering, implementation, professional services, technical consulting, technical account management, or escalation-level technical support.

Proven client-facing judgement. You can run a scoping call and explain a technical decision to a non-technical audience, push back on a request that will not work, and stay clear when something has broken in production.

Strong understanding of APIs, JSON, webhooks, auth, pagination and rate limits, and the patience to find the gap between what documentation says and what an endpoint actually does.

Python. You can write/understand and debug a script, read someone else's code, and explain your design choices and how you tested them.

Hands-on experience building automations in a low-code or config-heavy tool: Zapier, Make, n8n, Workato, UiPath, Salesforce Flow, Power Automate, Retool, or a vendor's own platform.

Daily use of AI tools in your own work, with a clear view of where they help and where they need correcting.

Proven experience running several client projects at once against deadlines.

Preferred

• —LLM work: prompting, classification, guardrails, evaluation, OpenAI or Anthropic SDKs
• —E-commerce and OMS, especially Shopify: orders, fulfilments, returns, refunds, webhooks
• —Customer service platforms: Zendesk, Gorgias, Dixa, Salesforce Service Cloud
• —SaaS post-sales delivery: implementations, professional services or solutions teams