Sr C# Developer (AI Exp)

Posted Yesterday
Hiring Remotely in Columbus, OH, USA
In-Office or Remote
Senior level
Artificial Intelligence • Cloud • Information Technology • Consulting
The Role
Develop C#/.NET APIs for an enterprise data platform, perform gap analysis, and build REST integrations using microservices and event-driven architecture. Implement CI/CD, containerization, and API management. In a later phase, integrate LLMs, build RAG and AI APIs, use orchestration frameworks, tune prompts and model parameters, and implement AI gateway capabilities such as token limits and model routing.
Summary Generated by Built In

This is a remote position.

About the role: The current phase focuses on C#/.NET API development and gap analysis on an enterprise data platform. GenAI development begins in a later phase, so candidates must be hands-on C# developers first, with real AI experience for that phase.

Core requirements

  • Strong C#/.NET experience on recent versions (.NET 6/8)
  • REST API development: authentication, third-party integration, event-driven architecture
  • Microservices architecture
  • Cloud & DevOps: CI/CD pipelines, containerization
  • API management (e.g., Gravitee, Kong, or Azure APIM)

AI requirements (applied in the AI build phase)

  • 1+ year hands-on LLM integration
  • RAG implementation
  • Semantic Kernel or a similar orchestration framework
  • Building APIs for AI use cases
  • Prompt engineering and model parameter tuning (temperature, etc.)
  • AI gateway concepts: token-based limits, model routing

Nice to have: Python, agentic workflows/MCP




Skills Required

  • Strong hands-on C#/.NET development experience, including recent .NET 6 or .NET 8 versions
  • REST API development, including authentication, third-party integrations, and event-driven architecture
  • Microservices architecture experience
  • CI/CD pipeline experience
  • Containerization experience
  • API management experience with Gravitee, Kong, Azure APIM, or a similar platform
  • At least one year of hands-on LLM integration experience
  • RAG implementation experience
  • Semantic Kernel or similar AI orchestration framework experience
  • Experience building APIs for AI use cases
  • Prompt engineering and model parameter tuning experience
  • Understanding of AI gateway concepts, including token-based limits and model routing
  • Python experience
  • Agentic workflows or MCP experience
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The Company
HQ: Columbus, OH
885 Employees
Year Founded: 1997

What We Do

Everest Technologies is an enterprise IT services firm that helps organizations solve business problems and scale through technology. Its offerings include managed services, project solutions, staff augmentation, DevOps and automation, quality engineering, cloud enablement, application services, retail and supply-chain technology, and decision intelligence. The company combines domain expertise with software engineering and AI capabilities, serving enterprise clients globally from U.S. and Indian delivery centers.

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