Solutions Engineer

DigitalGenius

Solutions Engineer optimizing AI-driven customer service solutions at DigitalGenius. Collaborating with Product and Customer Success Managers to enhance e-commerce automation.

Posted 7/13/2026full-timeRemote • 🇷🇴 RomaniaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in translating business requirements into scalable technical solutions, with a strong focus on automation, API integration, and AI-driven workflows. Proficient in managing complex projects and communicating effectively with both technical and non-technical stakeholders.

Highest-signal resume keywords

AI-First MindsetStrong API + Integration ExperiencePython ProgrammingHands-On LLM ExperienceLow-Code / Workflow Automation Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

API DevelopmentAutomation LogicPythonWorkflow ConfigurationData MappingTroubleshootingPrompt EngineeringIntegration TestingJSONError Handling

Soft Skills

Strong CommunicationOrganizationProject Management

Tools & Technologies

PostmanZapierMakeWorkatoTray.ioN8nSalesforce FlowServiceNowPower AutomateLangChain

Industry Keywords

E-CommerceOMSCustomer Service PlatformsSaaS DeliveryAI Strategy

Tech Stack

Tools & technologies

CloudPythonServiceNow

About the role

Key responsibilities & impact

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

What you’ll need

**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

Comp & perks

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