AI Solutions Engineer

AI Solutions Engineer

AI Systems, Automation & Integrations

About Ledge

Ledge Inc. / Ledge Tech helps companies turn complex business problems into practical systems, tools, and workflows that create measurable value. We work at the intersection of business operations, technology, automation, and AI — helping teams move faster, reduce manual work, improve decision-making, and bring useful tools to market.

We are building a team that is curious, technical, practical, and execution-focused. Our work is not about AI hype. It is about building real systems that solve real problems.

About the Role

We are looking for an AI Solutions Engineer to help design, build, test, and launch AI-powered tools, automations, and connected systems for internal operations and customer-facing projects.

This is a hands-on builder role for someone who enjoys figuring things out. You should be comfortable taking a messy business problem, understanding the workflow, identifying the right data sources, connecting systems, building a working tool, validating the results, and improving it until it is useful, reliable, and repeatable.

The right person will combine technical ability with business judgment. You do not need to know every tool or platform already, but you should be eager to learn, able to move quickly, and motivated by building systems that people actually use.  This is a combined work from home and business office as needs dictate.

What You’ll Work On

You will help build AI-enabled tools and workflows that may include:

• Internal tools that reduce repetitive work and improve team productivity

• Customer-facing AI demos, pilots, and implementation projects

• Automations that connect data across business systems

• AI workflows that retrieve, analyze, summarize, structure, or validate information

• Integrations with APIs, databases, CRMs, ERPs, payment platforms, banking systems, spreadsheets, and document repositories

• Systems that improve speed, accuracy, repeatability, and cost efficiency

• Tools that move from prototype to production quickly

What You’ll Do

• Build AI-powered tools, workflows, agents, automations, and internal systems

• Connect systems and data sources using APIs, databases, webhooks, automation tools, and integrations

• Translate business problems into workflows, system requirements, prompts, logic, and validation steps

• Validate AI outputs against source data, business rules, expected results, and user requirements

• Optimize tools for accuracy, repeatability, speed, credit/API usage, and maintainability

• Support demos, pilots, launches, and customer-facing implementations

• Document workflows, assumptions, test cases, integrations, and user instructions

• Work directly with leadership, project teams, customers, and technical partners

• Help shape how Ledge builds, tests, deploys, and improves AI-enabled systems

What We’re Looking For

We are looking for someone who is both technical and business-minded — someone who can understand the problem, build the solution, and think through whether it actually creates value.

Strong candidates may have experience with:

• AI tools, agents, prompt design, workflow automation, or internal tool development

• APIs, databases, webhooks, data mapping, integrations, or system-to-system data exchange

• Business systems such as CRMs, ERPs, payment platforms, banking systems, accounting systems, or operational software

• Automation platforms such as Zapier, Make, n8n, Power Automate, Airtable, HubSpot, or similar tools

• Programming or scripting, especially Python, JavaScript, SQL, or API-based development

• Business operations, project execution, customer implementation, process improvement, or technology consulting

• Building tools that are accurate, repeatable, fast, cost-conscious, and easy for others to use

Nice to Have

• Experience with OpenAI, ChatGPT, Claude, Azure AI, Microsoft Copilot, or similar AI platforms

• Experience with Stripe, Plaid, QuickBooks, NetSuite, SAP, Epicor, Microsoft Dynamics, HubSpot, Salesforce, or similar platforms

• Experience with payment system integrations, ERP integrations, banking data integrations, financial workflows, reconciliation, or accounting systems

• Experience using structured outputs, retrieval workflows, vector databases, AI agents, or AI APIs

• Experience working directly with customers on technical projects, implementations, or demos

• Experience in a startup, consulting, product development, operations, or systems-building environment

What Success Looks Like

• You build tools that people actually use

• You move quickly from idea to prototype to working system

• You connect the right data sources and make workflows repeatable

• You improve speed, accuracy, and efficiency across internal and customer workflows

• You reduce manual work through practical automation

• You balance technical execution with business impact

• You document systems clearly enough that others can use, test, and improve them

• You help Ledge and its customers turn AI ideas into real operational value

Who Will Thrive in This Role

You will do well here if you are:

• Curious and self-directed

• Practical and execution-focused

• Comfortable with ambiguity

• Strong at learning new tools quickly

• Detail-oriented and validation-minded

• Interested in both technology and business

• Able to communicate clearly with technical and non-technical people

• Motivated by building useful systems, not just impressive demos

• Excited by the opportunity to help shape a growing AI and technology practice

Compensation

This role will include a competitive base salary with an incentive structure tied to performance, project execution, and business impact. Details will be discussed during the interview process.

Why This Role Matters

AI is changing how companies operate, but most organizations need help turning potential into practical systems. At Ledge, this role will help build those systems.

You will have the opportunity to work close to the front edge of applied AI — building tools, connecting systems, solving real business problems, and helping shape how companies adopt AI in a practical, measurable way.