Frontier Technology Inc. is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions.
Requirements
- Design, develop, and deploy AI/ML models and pipelines
- 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
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance