Generative AI Developer with Python & .NET Expertise

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Role Overview

Generative AI Developer

You will collaborate with data scientists, architects, and business stakeholders to deliver high-impact AI-driven solutions while ensuring performance, security, and scalability across cloud platforms.

Key Responsibilities

• Design and implement 

  AI-driven solutions

   using 

  LLMs and generative AI models

  .
• Fine-tune, optimize, and evaluate models for 

  specific business use cases

  .
• Integrate generative AI capabilities into 

  enterprise applications and workflows

  .
• Build and maintain 

  data pipelines, APIs, and automation scripts

  .
• Develop AI/ML models using frameworks such as 

  TensorFlow, PyTorch, Hugging Face Transformers

  .
• Implement best practices for 

  performance, scalability, reliability, and security

  .
• Develop and maintain 

  enterprise-grade applications

   using 

  C#, ASP.NET Core, and Blazor

  .
• Integrate AI services with 

  .NET-based applications

   via REST APIs and microservices.
• Deploy AI models and applications on 

  Azure, AWS, or GCP

  .
• Implement and manage 

  CI/CD pipelines

   for AI and application deployments.
• Optimize 

  cloud infrastructure

   for cost, performance, and scalability.
• Collaborate with 

  data scientists, architects, and business stakeholders

  .
• Prepare 

  technical documentation

   and conduct 

  knowledge transfer sessions

  .

Required Skills & Experience

• 69 years of overall 

  software development experience

  .
• 2+ years of hands-on experience in 

  AI/ML and Generative AI projects

  .
• Strong knowledge of 

  Generative AI, LLMs, and prompt engineering

  .
• Proficiency in 

  Python

   for AI/ML development.
• Hands-on experience with 

  .NET technologies

   (C#, ASP.NET Core, Blazor).
• Experience with 

  REST APIs, microservices architecture

  , and backend integration.
• Familiarity with 

  containerization technologies

   (Docker, Kubernetes).
• Experience with 

  Azure AI Services, OpenAI API

  , or similar AI platforms.
• Strong understanding of 

  data engineering concepts

   and 

  SQL

  .
• Experience with 

  Git and Azure DevOps

  .
• Knowledge of 

  cloud security best practices

   for AI and enterprise applications.

Nice to Have / Preferred

• Experience with 

  Azure Machine Learning, Azure OpenAI, or Cognitive Services

  .
• Exposure to 

  MLOps practices

   and model lifecycle management.
• Microsoft Certified: 

  Azure AI Engineer Associate

   (preferred).
• Microsoft Certified: 

  .NET Developer

   or equivalent certification (preferred).

Education

• Bachelors degree

   in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field.

Why Join Us

• Work on 

  cutting-edge Generative AI and LLM-based solutions

  .
• Opportunity to blend 

  AI innovation with enterprise .NET platforms

  .
• Exposure to 

  cloud-native AI deployments

   at scale.
• Collaborative, innovation-driven work culture with strong learning opportunities.