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Everest Technologies, Inc

Senior C# Developer, AI Experience

Everest Technologies, Inc

. Develop C#/.NET APIs for an enterprise data platform .

Posted 10/23/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in C#/.NET API development for enterprise data platforms, with a strong focus on AI integration, prompt engineering, and microservices architecture. Proficient in cloud and DevOps practices, including CI/CD pipelines and API management.

Highest-signal resume keywords
C#/.NET DevelopmentREST API DevelopmentMicroservices ArchitectureAI IntegrationPrompt Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
C#.NET 6.NET 8REST APIsMicroservicesCI/CDContainerizationLLM IntegrationRAG ImplementationModel Parameter Tuning
Tools & Technologies
GraviteeKongAzure APIMSemantic Kernel
Industry Keywords
AI Gateway ConceptsToken-Based LimitsModel RoutingEvent-Driven Architecture

Tech Stack

Tools & technologies
AzureCloudMicroservices.NET

About the role

Key responsibilities & impact
  • Develop C#/.NET APIs for an enterprise data platform
  • Perform gap analysis on the enterprise data platform
  • Apply hands-on AI and GenAI development in a later project phase
  • Integrate LLMs and implement RAG solutions
  • Build APIs for AI use cases
  • Apply prompt engineering and tune model parameters
  • Work with AI gateway concepts such as token-based limits and model routing

Requirements

What you’ll need
  • Strong C#/.NET experience on recent versions (.NET 6/8)
  • REST API development, including authentication, third-party integration, and event-driven architecture
  • Microservices architecture experience
  • Cloud and DevOps experience, including CI/CD pipelines and containerization
  • Experience with API management platforms such as Gravitee, Kong, or Azure APIM
  • 1+ year of hands-on LLM integration experience
  • RAG implementation experience
  • Experience with Semantic Kernel or a similar orchestration framework
  • 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