FTI Defense - Frontier Technology Inc. · 4 days ago
AI/ML Engineer
Colorado Springs, CO
Full-time
Onsite
Mid, Senior Level
$110K/yr - $183K/yr
4+ years expFrontier Technology Inc. (FTI) delivers mission-focused solutions to the Department of Defense and Intelligence Community. They are seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions that support defense and national security missions.
AerospaceInformation TechnologyMilitaryProduct Design
No H1B
Security Clearance RequiredU.S. Citizen OnlyHiring Manager
Stephanie Beyer
Responsibilities
Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives
Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain
Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration)
Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid)
Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services
Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT)
Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy
Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots
Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs
Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility
Qualification
Required
Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed
4–6 years of professional experience developing and deploying AI/ML solutions in production environments
Strong Python development skills with hands-on experience building AI/ML solutions
Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain
Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent
Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph)
Familiarity with DoD/IC AI assurance, security, and deployment environments
Preferred
Experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT
Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning
Understanding of prompt engineering, retrieval quality, and grounding methods
Exposure to GPU-based or edge inference environments
Experience integrating AI capabilities into production systems or mission applications
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field
Active Secret clearance preferred; ability to obtain one required
Company
FTI Defense - Frontier Technology Inc.
FTI Defense - Frontier Technology Inc. - provides the technology and deep data expertise to drive the best defense and intelligence solutions.
501-1000 employees
Funding
Current Stage
Late StageLeadership Team
Ron Shroder
CEO / Chairman of the Board
Tom Batty
Director, Special Projects reporting to CEO
Recent News
2025-11-24
Washington Technology
2025-11-11
Company data provided by crunchbase