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FreedomPay

Integrated payments platform for merchants

AI Enablement Engineer

AI Application EngineeringPosted on Nov 12
Full-timePhiladelphia, PA, USA

About the Job

Requirements

  • A Bachelor's degree in a related field or equivalent practical experience is required.
  • Have 3-5 years of experience in technical operations/automation, software engineering, or solutions engineering.
  • Understand non-technical team workflows and design appropriate solutions.
  • Keep pace with a rapidly changing AI ecosystem and distinguish meaningful advances from hype.
  • Communicate clearly, work independently, prioritize by impact, and ship iteratively.
  • Manage multiple stakeholders and priorities in a fast-paced environment.
  • Have hands-on experience building with AI coding assistants and applying large language models to real workflows.
  • Have working proficiency with the Microsoft AI stack, such as Microsoft 365 Copilot, Copilot Studio, Microsoft Foundry, and Microsoft Fabric, or demonstrate an ability to ramp quickly.
  • Have full-stack fundamentals, including a modern web framework, REST APIs, SQL, and scripting in Python or JavaScript/TypeScript.
  • Use Git and team workflows, including branching, pull requests, and code review.
  • Have experience with integration and workflow tools such as APIs, webhooks, iPaaS, or RPA.
  • Understand secure development practices, authentication, and access control.
  • Successfully pass a background check and a credit check.

Responsibilities

  • Embed with internal teams to map workflows, identify bottlenecks, and redesign workflows around AI.
  • Build internal tools that replace manual processes.
  • Automate multi-step workflows end to end, including validation, approvals, notifications, status tracking, and exception handling.
  • Prototype solutions with AI coding tools and large language models, then harden successful prototypes with testing, logging, error handling, and documentation.
  • Measure cycle time, tickets deflected, hours saved, and error rates.
  • Work within security and compliance requirements, including PCI scope, data classification, access control, and change management.
  • Train users, gather feedback, and iterate on solutions.
  • Advise and mentor individual team members on shaping their workflows so they can solve more problems independently.
  • Own the long-term support strategy for shipped tools, including support ownership, handoffs, and retirement.
  • Use AI-assisted development tools such as Claude and Claude Code daily to design, build, test, and document solutions.
  • Build agents and AI-powered workflows on the Microsoft AI stack, grounded in company data through Microsoft IQ.
  • Design, build, and support autonomous agents that perform multi-step work with guardrails, monitoring, and escalation paths.
  • Build and maintain local (STDIO) and remote (HTTP) MCP servers that securely connect AI tools to internal systems and data.
  • Package reusable capabilities as skills and plugins that teams can install and share.
  • Apply context engineering, including prompt and tool design, retrieval-augmented generation, and memory, so agents receive appropriate information.
  • Build evaluations and test sets to measure agent quality, detect regressions, and determine readiness to ship.
  • Instrument agents for observability and cost, including tracing, token usage, and failure analysis.
  • Choose tools and models for each problem by weighing quality, cost, and latency, including low-code agents, custom code, and plain automation.
  • Scout new AI tools and capabilities and assess which are worth enabling.
  • Apply responsible AI practices in a regulated payment-processing environment, including data classification, access control, and human-in-the-loop review.
  • Publish reusable prompts, agents, and patterns for other teams to adopt.

Desired Qualifications

  • Payments, fintech, or other regulated-industry experience is preferred.
  • Familiarity with PCI DSS, SSO/OAuth, and data classification is preferred.
  • Experience in a Windows/.NET environment, including C# and PowerShell, Azure, and CI/CD such as Azure DevOps, is preferred.
  • Experience designing and supporting autonomous agents or agentic workflows, including MCP servers, skills/plugins, evaluations, and multi-agent orchestration, is preferred.
  • Experience supporting production tools used by non-technical teams is preferred.

About the Company

FreedomPay

Integrated payments platform for merchants

FreedomPay provides an integrated payments platform that helps businesses accept and optimize payments across in-store and online channels, aiming to boost revenue and improve customer satisfaction. It connects point-of-sale, online checkout, and cross-border processing with security features and fast settlement, and merchants are charged processing fees plus value-added services. The company differentiates itself with an end-to-end platform that serves diverse commerce channels and operates in high-volume environments, while engaging in industry thought leadership and social initiatives. Its goal is to advance the future of payments by delivering a seamless, secure checkout experience that stays ahead of changing consumer needs.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$30.7M
Headquarters
Philadelphia, PA
Founded
2000

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