AI Engineer

Client of Kalamntina

Employer Active

Posted 7 hrs ago

Experience

5 - 7 Years

Job Location

Amman - Jordan

Education

Bachelor of Technology/Engineering(Computers)

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

Responsibilities:

  • Design and develop RESTful APIs and microservices using C# / ASP.NET Core.
  • Lead the integration of LLMs (e.g., ChatGPT, Azure OpenAI) into core product workflows, including prompts, embeddings, and completions.
  • Develop RAG pipelines, incorporating vector stores, semantic search, and contextual data retrieval.
  • Collaborate with data engineers and product managers to design intelligent features based on user needs and business logic.
  • Optimize data flow between backend systems and AI components.
  • Ensure robustness, scalability, and security of backend + AI features.
  • Participate in architecture discussions, code reviews, and agile ceremonies.
  • Contribute to CI/CD pipelines, performance tuning, and monitoring.

Qualifications:

  • 5+ years of professional experience in backend development with .NET (C# / ASP.NET Core).
  • Strong foundation in OOP, SOLID principles, and asynchronous programming.
  • Experience developing and consuming REST APIs and working with SQL Server.
  • Proven experience integrating with OpenAI APIs or similar LLM platforms.
  • Familiarity with retrieval-augmented generation (RAG) or semantic search techniques.
  • Strong understanding of prompt engineering, embedding models, and token limitations in LLMs.
  • Familiarity with Git, Agile methodologies, and CI/CD workflows.

Desired Candidate Profile

Qualifications:

  • 5+ years of professional experience in backend development with .NET (C# / ASP.NET Core).
  • Strong foundation in OOP, SOLID principles, and asynchronous programming.
  • Experience developing and consuming REST APIs and working with SQL Server.
  • Proven experience integrating with OpenAI APIs or similar LLM platforms.
  • Familiarity with retrieval-augmented generation (RAG) or semantic search techniques.
  • Strong understanding of prompt engineering, embedding models, and token limitations in LLMs.
  • Familiarity with Git, Agile methodologies, and CI/CD workflows.

Company Industry

Department / Functional Area

Keywords

  • AI Engineer

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