Solutions Engineer

Role Overview

• Translate business requirements into scalable technical solutions on the DigitalGenius platform
• Configure workflows, AI agents, integrations, and automation logic for complex e-commerce use cases
• Design and implement APIs and third-party integrations (OMS, carriers, Helpdesk, etc.)
• Prompt, tune, and evaluate LLM-powered components — classifications, extractions, guardrails, and generative replies
• Lead new use case implementation projects
• Ensure timely, high-quality launches with measurable automation impact
• Troubleshoot complex technical challenges across systems, data, and AI behavior
• Partner with CSMs to align technical delivery with customer outcomes and ROI
• Advise customers on best practices, scalability, AI strategy, and optimization
• Support strategic expansions, new channels, and advanced use cases
• Provide structured feedback to Product based on what you see in real implementations
• Identify feature and AI capability gaps and contribute to roadmap discussions
• Participate in beta testing, model evaluations, and product validation initiatives
• Continuously improve automation performance, resolution rates, and AI accuracy
• Proactively identify opportunities for process improvements — both for customers and internally
• Contribute reusable assets, documentation, prompts, evaluation sets, and internal best practices
• Use AI to automate your own work: build internal tools, scripts, and agents that make the SE team faster and better

Requirements

• AI-first mindset. You're genuinely excited about LLMs and applied AI. You actively use AI tools in your day-to-day work, you push to automate the repetitive parts of your own job, and you believe most manual work in our space will eventually be done by agents.
• Automation / workflow mindset. You can translate business requirements into reliable flows — including edge cases, data mapping, retries, and clear decision logic.
• Strong API + integration experience (building and debugging). Comfortable with Postman, JSON, webhooks, auth (tokens, headers, OAuth), pagination, error handling, and troubleshooting unexpected API behavior.
• Python. Hands-on experience writing and shipping Python used by others — integrations, automation scripts, services, or internal tools. You can explain your design choices and how you tested and debugged your code.
• Strong communication. You can explain technical concepts clearly to non-technical stakeholders, write clean notes and docs, and keep customers and internal teams aligned.
• Organization and project management. Strong organizational skills with the ability to manage workstreams, priorities, and timelines across multiple stakeholders and parallel implementations.
• Hands-on LLM experience. Prompting, classification, guardrails, evaluation, and tooling like LangChain, LlamaIndex, OpenAI/Anthropic SDKs — bonus if applied in support automation or agentic workflows.
• Low-code / workflow automation experience. Zapier, Make, Workato, Tray.io, n8n, Salesforce Flow, ServiceNow, Power Automate, Retool — or a proven track record of learning config-heavy tools quickly.
• E-commerce / OMS exposure (especially Shopify). Orders, fulfillments, returns and refunds, customer data, tags and statuses, webhooks.
• Customer service platforms. Zendesk, Salesforce Service Cloud, or similar.
• SaaS delivery background. Implementations, solutions, or technical support in customer-facing environments.

Tech Stack

• Cloud
• Python
• ServiceNow

Benefits

• Competitive Salary
• Generous vacation time (25 days) + Birthday off
• Environment to develop your skills without bureaucracy or red tape
• Monthly fitness stipend of $210 (Lifestyle wallet) from day 1
• Ongoing subscription to Mental Health Support Platform
• Paid Claude/Cursor subscription: because we want you using the best AI tools every day
• Learning budget to invest in courses, books, conferences, and certifications