Senior .NET Developer for AI/ML Apps & MLOps

Robotic Technologies Automation; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

C#

.NET Core

REST API design

UI frameworks

Python

LLMs

MLOps

RAG

Tools

AWS Bedrock

Docker

Kubernetes

GitHub Actions

Azure DevOps

Jenkins

Job description

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.