AI Engineer with .Net background
Salário Estimado
R$ 9.600,00 - R$ 12.800,00
Descrição da Vaga
Contract 12+ Month Washington DC – REMOTE (C2C/W2 Fine) As per HM: AI Engineer with .
Net Development Background Solid experience in prompt engineering, fine-tunning, or RAG experience in previous GenAI project for 2 years.
Hand-on development experience in Python, Java, .
NET for at least 2-3 years. .
NET experience is must for API development.
Familiar with Azure Cloud Services, especially latest on Azure OpenAI, Azure APIM, AI foundry.
Azure Web app, Azure Web API.
Power Platform development experience is a plus. (Teams integration, Power Apps, Copilot Studio).
Job Description: We are looking for an experienced AI Engineer with strong expertise in Large Language Models (LLMs) and modern AI solution design.
The ideal candidate should understand how LLMs work and have hands-on experience building AI-driven applications.
Required Skills:
To know more about US Tech Solutions, please visit www.ustechsolutions.com US Tech Solutions is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Regards Mohd Rehan [email protected] Internal ID:#: 26-04207
Requisitos
- AI Engineer with .Net Development Background
- Solid experience in prompt engineering, fine-tunning, or RAG experience in previous GenAI project for 2 years
- Hand-on development experience in Python, Java, .NET for at least 2-3 years
- .NET experience is must for API development
- Familiar with Azure Cloud Services, especially latest on Azure OpenAI, Azure APIM, AI foundry
- Azure Web app, Azure Web API
- We are looking for an experienced AI Engineer with strong expertise in Large Language Models (LLMs) and modern AI solution design
- The ideal candidate should understand how LLMs work and have hands-on experience building AI-driven applications
- Strong understanding of how Large Language Models (LLMs) work
- Experience with RAG (Retrieval-Augmented Generation)
- Prompt Engineering and LLM optimization
- Fine-tuning LLMs
- Agentic AI / multi-agent systems
- Strong data background (data pipelines, preprocessing, embeddings)
- Azure AI services experience
Benefícios
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