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# Senior Software Engineer - LLM and Agentic AI Applications - Profitable AI Startup

- **Company:** Skyrocket Ventures
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $240,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Quality, Data Visualization, Linux, Python (Programming Language), MongoDB, Software Architecture, Software Engineering, Large Language Models, Software Application Programming, Celery, Virtual Agents
- **Published:** August 24, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pelczm2muj

## About the Role

At least 3 years of professional experience (the more the better).

 - Expertise in Python.

 - At least 2 years of LLM and agentic AI experience.

 - Experience building an agentic AI product that is in use by customers (not just a personal project).

 - Strong problem solving skills and attention to detail.

 - Expertise in architecting, maintaining, and optimizing generative AI applications.

 - Up to date on the latest technologies for AI Ops.

 - Knowledgeable about software architecture able to design scalable, performant solutions.

 - Emphasis on code quality and writing maintainable, testable code.

Nice to have:

 - Thorough knowledge of the Linux operating system.

 - Experience with Celery, and MongoDB.

 - Belief in the scientific method and making data-driven decisions.

 - Experience mentoring other engineers.

## Description

Primarily working with Python, LangGraph, and MCP.

 - Blending Python software development expertise with LLM and agentic application development to advance the state of the art analytics engine that powers the core product.

 - Building applications for customers to use which will help them to extract knowledge and learnings from the company's product.

 - Building, maintaining, and continuously improving tools, techniques, and architecture for agentic applications.

 - Working with a talented and diverse team of engineers, data scientists, and research staff to build new features and solve novel problems across the spectrum of software engineering, data visualization, and science.


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