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Development 2d ago

Software Engineer - AI/Automation

United StatesUnited States
Full-time
$90,000–$100,000 USD
Mid-Level

Job Description

Key Skills Required

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C#ASP.NET CoreAzureFull-stackAI Engineer

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We're looking for a Software Engineer to join our AI/Automation team and contribute to the design, development, and maintenance of Azure-hosted web portals, platforms, and intelligent automation solutions. You'll work across several active products — including internal portals, an external client-facing portal, CRM systems, and Argus, our large-scale EDI processing platform currently in testing.

This role is hands-on. You'll be writing code, building features, integrating AI capabilities, and shipping to production — but you'll also need to think architecturally about how components fit together in Azure. We value engineers who can own a feature end-to-end: understand the requirement, design the approach, build it, and deploy it. You'll be expected to leverage AI-assisted development tools and incorporate AI/automation into your daily workflow.

Primary Responsibilities:

  • Web Portals – Build and maintain Azure-hosted portals including a member portal (internal), client portal (external-facing), and the Argus portal (internal). Full-stack work spanning UI, API, and data layers.
  • Argus Platform – Contribute to our flagship EDI processing platform. Argus handles the full spectrum of healthcare EDI operations (eligibility, claims, remittance, acknowledgments) and is a substantial, actively evolving codebase.
  • CRM Systems – Develop and extend CRM functionality supporting TPA operations and client management.
  • Azure Infrastructure – Work with Azure services (App Services, Azure SQL, Functions, Storage, Azure AI Services, etc.) to build scalable, reliable, intelligent applications. Participate in architectural decisions for new features and platform improvements.
  • AI & Automation – Integrate AI capabilities into products and workflows. Use AI-assisted development tools (GitHub Copilot, Azure AI) as part of your daily process. Identify and implement automation opportunities across platforms.
  • Cross-Team Collaboration – Work with stakeholders across multiple TPA entities within the Point C organization to understand requirements and deliver solutions.

Qualifications:

Required

  • 3–7+ years of professional software development experience
  • .NET ecosystem proficiency – C#, ASP.NET Core / MVC, Web API, Entity Framework or similar ORM
  • AI-assisted development – Comfort using AI tools (GitHub Copilot, ChatGPT, Azure AI, or similar) as part of your development workflow. Willingness to integrate AI/automation into the products you build — not just use it as a coding assistant.
  • SQL Server – Comfortable writing queries, stored procedures, and working with relational data models
  • Azure platform experience – Deploying and managing applications in Azure. Familiarity with App Services, Azure SQL, Azure Functions, or equivalent cloud services.
  • Web development fundamentals – HTML, CSS, JavaScript/TypeScript. Experience building functional, usable web interfaces.
  • Architectural thinking – Ability to reason about application structure, service boundaries, data flow, and scalability. You don't need to be a solutions architect, but you should be able to make sound design decisions and articulate trade-offs.
  • Version control – Git-based workflows (GitHub, Azure DevOps, or similar)
  • Self-directed remote work – Ability to manage your own priorities, communicate proactively, and deliver without in-person oversight

Preferred

  • Healthcare / TPA industry experience – Understanding of benefits administration, claims processing, or payer/provider workflows
  • EDI / X12 familiarity – Exposure to healthcare transaction standards (834, 835, 837, 999, etc.). We have tooling that handles heavy parsing, but domain awareness accelerates onboarding.
  • Azure architecture experience – Resource provisioning, networking, identity/security (Entra ID), CI/CD pipelines, infrastructure-as-code (Bicep, ARM templates, Terraform)
  • Azure AI Services – Experience with Azure OpenAI, Cognitive Services, AI Search, Document Intelligence, or similar
  • CRM platform experience – Building or customizing CRM systems
  • Frontend framework experience – React, Angular, Blazor, or similar

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Software Engineer - AI/Automation at Point C