DOT NET Software Developer

Saxon GlobalBrooklyn, NY

About The Position

This role involves designing and developing web applications, APIs, and microservices using C#, .NET Core, REST, and modern UI frameworks. A key aspect of the position is fine-tuning and deploying Large Language Models (LLM) such as Claude, ChatGPT, or similar models using Amazon Web Services (AWS) Bedrock and Python frameworks. The developer will also be responsible for optimizing, designing, and/or deploying Retrieval Augmented Generation (RAG) vector databases. Additionally, the role requires optimizing database performance, managing stored procedures, and ensuring data quality across Oracle and cloud data platforms. Deployment and monitoring of applications and models using CI/CD pipelines, Docker, Kubernetes, GitHub Actions, Azure DevOps, Jenkins, etc., along with MLOps/LLMOps practices, are essential. The position also emphasizes ensuring platform security, compliance, logging, observability, and performance tuning across environments. Collaboration through requirements review, sprint planning, code reviews, release management, and documentation is expected. Support for production releases, troubleshooting, and timely resolution of technical issues are also part of the responsibilities.

Requirements

  • Minimum 10 years of experience in Programming: .NET Core, C#, Python
  • Minimum 5 years of experience in AI/ML/NLP: LangChain, LangGraph, LlamaIndex, NLP models, RAG vector databases, model deployment
  • Minimum 7 years of experience with Database: Oracle SQL/PL-SQL, ER design, query optimization.
  • Minimum 7 years of experience in Microservices & Web: REST APIs, MVC, Web API, JSON, OAuth, SSO, microservices architecture.
  • Minimum 7 years of experience in Cloud & DevOps: Azure, AWS or GCP, Docker, CI/CD, API gateways, including AI-specific services like AWS Bedrock and SageMaker AI
  • Minimum 10 years of experience with strong debugging, performance tuning & secure coding practices.
  • Minimum 10 years of experience with demonstrated experience delivering mid-to-large scale enterprise applications and integrations.

Responsibilities

  • Design and develop web applications, APIs, microservices using C#, .NET Core, REST, and modern UI frameworks.
  • Fine-tune and deploy Large Language Models (LLM) such as Claude, ChatGPT, or similar models using Amazon Web Services (AWS) Bedrock and Python frameworks.
  • Optimize, design, and/or deploy Retrieval Augmented Generation (RAG) vector databases.
  • Optimize database performance, manage stored procedures, and ensure data quality across Oracle and cloud data platforms.
  • Deploy and monitor applications and models using CI/CD pipelines, Docker, Kubernetes, GitHub Actions, Azure DevOps, Jenkins, etc. and MLOps/LLMOps practices.
  • Ensure platform security, compliance, logging, observability, and performance tuning across environments.
  • Participate in requirements review, sprint planning, code reviews, release management, and documentation.
  • Support production releases, perform troubleshooting, and deliver timely resolution to technical issues.
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