.Net Developer with AI

Robotic Process Automation LLC; New York (NY); Vor Ort; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

Robotic Technologies Automation in New York, NY seeks a skilled software engineer to design and build web applications, APIs, and microservices using C# and .NET Core. You will implement RESTful services and modern UI components to deliver scalable solutions.

You will also fine-tune and deploy language models with AWS Bedrock, work on RAG vector databases, optimize Oracle and cloud data platforms, and drive MLOps through robust CI/CD pipelines.

Qualifikationen

• Experience designing web apps and RESTful APIs with C# / .NET Core.
• Proficient in fine-tuning LLMs using AWS Bedrock and Python frameworks.
• Experience designing and deploying Retrieval Augmented Generation (RAG) vector databases.
• Database performance optimization with Oracle and cloud platforms.
• Strong CI/CD, monitoring, and MLOps practices.

Aufgaben

• Design and develop web apps and APIs using C# / .NET Core.
• Fine-tune and deploy LLMs (Claude, ChatGPT) via AWS Bedrock and Python stacks.
• Design and deploy RAG vector databases.
• Optimize database performance across Oracle and cloud data platforms.
• Deploy and monitor apps and models with CI/CD pipelines (Docker, Kubernetes, GitHub Actions, Azure DevOps, Jenkins) and MLOps.
• Ensure security, logging, observability, and performance across environments.
• Participate in requirements reviews, sprints, code reviews, releases, and documentation.
• Support production releases and troubleshoot issues.

Kenntnisse

C#

.NET Core

REST API design

UI frameworks

Python

LLMs

MLOps

RAG

Tools

AWS Bedrock

Docker

Kubernetes

GitHub Actions

Azure DevOps

Jenkins

Jobbeschreibung

• Design and develop web applications, APIs, microservices using C#, .NET Core, REST, and modern UI frameworks.
• Fine-tuning and deploying Large Language Models (LLM) such as Claude, ChatGPT, or similar models using Amazon Web Services (AWS) Bedrock and Python frameworks
• Optimizing, designing and/or deploying 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.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.