Senior C# Developer, AI Experience

Job not on LinkedIn

🔥 14 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Everest Technologies, Inc

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1997

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Everest Technologies, Inc. is a technology solutions provider that focuses on addressing business challenges through innovative IT services. The company specializes in managed services, project solutions, and staff augmentation, helping organizations improve their engineering capabilities and enhance their operational efficiency. Everest Technologies leverages advanced methodologies in DevOps, quality engineering, and cloud enablement, offering a wide range of application services to drive technology transformations across various industries.

📋 Description

• 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

• 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