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# Remote - Senior Software Engineer

- **Company:** Insight Global
- **Location:** Salt Lake City, UT, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Artificial Intelligence, Amazon Web Services, Microsoft Azure, C Sharp (Programming Language), Cloud Engineering, Data Visualization, Machine Learning, Software Engineering, TypeScript, Web Application Frameworks, Cloud Platform System, Large Language Models, Front End Software Development, Virtual Agents
- **Published:** July 23, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3330047696&tx=HT767TYI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

Must-Haves

 - 5+ years software engineering experience

 - Strong C# / .NET background

 - Cloud architecture experience (Azure, AWS, or GCP)

 - Experience building scalable cloud-native applications

 - Rule-based systems experience

 - Machine Learning (ML) experience

 - Agentic AI / AI-assisted development experience

 - Experience integrating AI or LLM capabilities into products

 - Experience guiding architecture and technical direction

Hands-on development background Plusses

 - LangChain

 - Semantic Kernel

 - MCP

 - Scientific software experience

 - Biotechnology / Life Sciences experience

 - Data visualization experience

 - Platform modernization experience

 - Front-end experience (TypeScript, modern web frameworks)

Experience building products from the ground up

## Description

Build rule-based automation that reduces hours of manual data curation currently performed by PhD scientists.

 - Work closely with scientists, engineering, and product teams.

 - Design the foundation for future AI and machine learning capabilities.

 - Support Phase 1 rule-based automation while preparing the platform for future AI-powered predictions.

 - Influence product and technical direction.

 - Mentor engineers and elevate engineering best practices.


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