Role overview
Overview:
Frontier Technology Inc. (FTI) is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.
FTI delivers mission-focused solutions to the Department of Defense (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.
What you'll work on
- 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.
Education/Qualifications:
What we're looking for
- 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.
- 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 is required.
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