Machine Learning / Full Stack Engineer – US Defense AI Program
Company: KT2i Inc
Location: Remote (Remote)
Salary: $150,000 - $180,000 a year
Type: Full-time
Remote: Yes
Posted: 2026-06-15
About this role
Machine Learning / Full Stack Engineer – US Defense AI Program
Location: Remote (USA) – Occasional Travel to San Diego, CA
Employment Type: Full-Time
Compensation: Up to $180,000 Base Salary (No Benefits)
Security Requirement: U.S. Citizenship Required | Active Secret Clearance Preferred (or Ability to Obtain)
About the Opportunity
Bristol-AI is a leading technology company focused on transforming U.S. Navy maintenance and logistics operations through Artificial Intelligence, predictive analytics, forecasting, and advanced software platforms.
We are seeking a highly skilled Machine Learning / Full Stack Engineer to develop next-generation forecasting, optimization, simulation, and AI-powered decision-support systems that improve fleet readiness and maintenance execution for critical U.S. Navy programs.
This is an exciting opportunity to work on cutting-edge Defense AI initiatives supporting long-term Department of Defense modernization programs.
Key Responsibilities
- Develop forecasting, optimization, simulation, and predictive maintenance models using Python and modern machine learning frameworks.
- Build production-ready AI solutions utilizing PyTorch, TensorFlow, Scikit-Learn, NumPy, and Pandas.
- Design and implement workload forecasting, schedule-risk analysis, workload leveling, and uncertainty modeling solutions.
- Develop Monte Carlo simulations, critical-path analysis tools, and resource optimization workflows.
- Integrate vector databases, embeddings, semantic search, and Retrieval-Augmented Generation (RAG) capabilities.
- Build and maintain backend services using FastAPI, PostgreSQL, Pydantic, and modern API architectures.
- Collaborate with Full Stack Engineers to deliver React/TypeScript-based dashboards and analytics platforms.
- Develop AI-assisted workflows using CopilotKit, Pydantic AI, MCP integrations, AG-UI, and agentic frameworks.
- Create automated testing, validation, monitoring, and deployment pipelines....