AI​/ML Engineer

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Frontier Technology Inc. (FTI) delivers mission-focused solutions to the Department of Defense and Intelligence Community 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.

Job Description

AI/ML Engineer

Company: Frontier Technology Inc.

Location: Dayton, OH

Remote: Yes

Job Type: Full-time

Posted: 11 days ago

Seniority level: Mid-Senior level

Job function: Engineering and Information Technology

Industries: Technology, Information and Internet

• 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, Tensor Flow, scikit‑learn, Hugging Face, and Lang Chain.
• 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 Lang Graph, Auto Gen, 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.

• 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, Tensor Flow, scikit‑learn, Hugging Face, or Lang Chain.
• 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.

• Experience fine‑tuning and evaluating LLMs or smaller task‑specific models using LoRA, QLoRA, or PEFT.
• Familiarity with agentic frameworks (Lang Graph, Auto Gen, 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.