Solutions Engineer

🕒 5 days ago

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DigitalGenius

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2015

🤖 Artificial Intelligence

☁️ SaaS

🛍️ eCommerce

Artificial Intelligence • SaaS • eCommerce

DigitalGenius is a company that provides AI-powered customer service solutions tailored for the ecommerce industry. Their platform features a combination of conversational and visual AI, enabling seamless integration with existing business processes to address customer queries rapidly and effectively. Designed to enhance customer experiences, DigitalGenius's AI automates key customer service tasks such as processing refunds, offering replacements, and notifying quality control teams about product defects. By leveraging generative AI, DigitalGenius delivers personalized and empathetic customer interactions. The platform aims to increase conversion rates and customer loyalty while reducing operational pressures on internal teams.

📋 Description

• 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.

🏖️ 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