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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning / Full Stack Engineer - US Defense AI Program - **Company:** KT-II, INC. - **Location:** United States (Remote available) - **Salary:** $150,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Analytics Applications, Automation of Tests, Data Visualization, Monitoring of Systems, Python (Programming Language), PostgreSQL, Machine Learning, Monte Carlo Methods, NumPy, Tensorflow, Search Technologies, Software Engineering, TypeScript, Pytorch, ReactJS, Delivery Pipeline, Software Security, Generative AI, Backend, Fastapi, Pandas, Scikit Learn, Kubernetes, Information Technology, Scheduling Algorithms, Docker - **Published:** June 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=f43943a4ba4da8e9 ## About the Role Do you have experience in Software engineering?, Do you have a Bachelor's degree in statistics?, * Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Mathematics, Operations Research, or a related field. * U.S. Citizen (mandatory). * Active Secret Security Clearance preferred or ability to obtain one. * Strong proficiency in Python 3, NumPy, Pandas, and machine learning development. * Hands-on experience with PyTorch, TensorFlow, or Scikit-Learn. * Experience building production software beyond research notebooks. * Experience with FastAPI, PostgreSQL, Pydantic, APIs, and backend development. * Ability to translate complex operational requirements into practical AI and forecasting solutions. Preferred Qualifications * Prior Department of Defense (DoD), Navy, Federal Government, or Military project experience. * Veterans strongly encouraged to apply. * Experience with predictive maintenance, logistics, fleet operations, or maintenance planning systems. * Knowledge of Monte Carlo simulation, operations research, optimization, and scheduling algorithms. * Experience with PostgreSQL, pgvector, vector databases, embeddings, and RAG architectures. * Familiarity with React, TypeScript, dashboards, and data visualization tools. * Experience with Docker, Kubernetes, Helm, and secure deployment environments. * Experience with observability, model monitoring, experiment tracking, and production AI systems., * Are you a U.S. Citizen? (Required) * Do you currently hold an Active Secret Security Clearance?(Required) * Have you worked on Department of Defense (DoD) or Military projects? (Required) * How many years of professional Machine Learning experience do you have? * How many years of Python development experience do you have? * Have you deployed machine learning models into production environments? ## Description * 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. * Support containerized deployments using Docker and Kubernetes, including secure and air-gapped environments., * Work on mission-critical AI solutions supporting U.S. Navy modernization efforts. * Contribute to large-scale predictive maintenance and logistics management initiatives. * Collaborate with experienced AI, software engineering, and defense technology professionals. * Opportunity to help shape a rapidly growing Defense AI business. ## Related Videos - [Vectorize all the things! 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