AI/LLM Developer

Company Overview

Red 6 is an innovative Augmented Reality (AR) technology startup leading the way in synthetic air combat training. Our primary technology, supporting our ATARS product, enables pilots to simulate the cognitive challenges of flying while accessing realistic, scalable training in dynamic outdoor environments.

About the Role

We are seeking an experienced AI/LLM Developer to join our team and help build cuttingedge

applications powered by large language models. The ideal candidate will have handson

experience developing LLM-based solutions and a deep understanding of the modern AI

development ecosystem.

Key Responsibilities

- Design and develop AI-powered applications, including agents, chatbots, and workflow

automation tools

- Implement and optimize LLM integrations for various use cases

- Work with both cloud-based and local LLM deployments

- Fine-tune language models for domain-specific applications

- Collaborate with others to identify and implement AI solutions

- Stay current with the latest developments in LLM technology and best practices

Required Qualifications

- Strong Python programming skills with proven experience in production environments

- Strong Linux/Unix skills and comfort working in the terminal

- Experience developing LLM-powered applications, including:

- AI agents and multi-agent systems

- Conversational chatbots

- Workflow automation tools

- Experience with on-device LLM deployment, particularly using Ollama

- Experience fine-tuning LLMs or specific use cases

- Active user of agentic coding tools such as Claude Code, Cursor, or similar AI-powered

development environments

- Experience creating front-end interfaces for LLM applications using one or more of:

- NiceGUI for rapid Python-based UI development

- Gradio for ML model demos and interfaces

- React for production-grade web applications

Additional Skills

- Understanding of prompt engineering and LLM optimization techniques (fine-tuning, RL, dspy,

etc)

- Knowledge of model evaluation and testing methodologies

- Strong problem-solving and analytical skills

Preferred Qualifications

- Experience with multiple LLM providers (OpenAI, Anthropic, Google, etc.)

- Experience with MLOps and model deployment pipelines

- Background in machine learning or data science

- Experience with AR

Full-Time Employee Benefits

• Healthcare, Dental, and Vision (100% coverage for Employees)

• Paid time off, including vacation, sick, paid holidays, and parental leave

• Short and Long-Term Disability

• Flexible Spending Account (FSA)

• 401(k) Retirement Plan

• Voluntary Worksite Benefits (Accident, Critical Illness, and Hospital Indemnity)
  

Note

Red 6 reserves the right to change its current benefits program at any time, in a manner that is consistent with applicable federal and state regulations.

This job description is not a contract and confers no contractual rights, privileges, or benefits on any applicant or potential applicant. Red 6 has the right to change any and all terms of this job description, including, but not limited to, job responsibilities, qualifications, and benefits. Nothing in this job description constitutes an offer or guarantee of employment.

Red Six Aerospace, Inc, is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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Under the California Consumer Privacy Act (“CCPA”), Red 6 Aerospace, Inc. operating company you are applying to work for (hereinafter, “we”, “our”, or “us”) may collect personal information and use it for certain business purposes as described below in this Job Applicant and Employee Privacy Notice. We are required to disclose the following information to California “consumers” regarding our collection of their personal information. Under the CCPA, “consumers” means California residents, including job applicants, employees, or contractors of a business.  

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Compensation Range: $170K - $200K