Sr C# Developer (AI Exp)

Everest Technologies, Inc.; United States; Remote; USD 110,000 - 160,000; Full time

Job summary

Everest Technologies, Inc. in the United States seeks a hands-on C#/.NET API developer for a remote role focusing on enterprise data API work and integration tasks.

You will contribute to RESTful services, authentication flows, and third-party integrations within an AI-enabled data platform. In early phases, you will work with C#, .NET 6/8, and API design, with later involvement in GenAI initiatives, RAG, and AI gateway concepts.

Qualifications

• Proficient in C#/.NET (6/8) APIs and services.
• Proven REST API design including authentication and third-party integration.
• Experience with AI/GenAI integration and scalable data platforms.

Skills

C#/.NET development

REST API development

AI integration

Tools

Semantic Kernel

Job description

Job Description

ETech is a leading Information Technology solutions provider based in Hitec City, Hyderabad, India. We are a subsidiary of Everest Technologies Inc. based in Columbus, Ohio USA. We deliver top quality systems and software design, architecture, development, testing and implementation services to clients in a variety of industrial, commercial, and governmental environments. By focusing on achieving client successes, we have achieved success ourselves. Our reputation for providing creative and technically superior consulting services is built on our innovative use of leading technologies tailored to meet the individual needs of our clients.

About the role

This is a remote position. 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

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