Join a cutting-edge AI team solving real-world problems in national security, cybersecurity, and cloud innovation. We’re looking for an AI/ML Engineer passionate about large language models (LLMs), graph analytics, and building full-stack solutions. Fine-tune models at scale, develop intelligent apps, and help shape the future of secure, scalable AI systems. Remote-first, mission-driven, and ready for impact. 🌎✨ AI/ML Engineer – LLM Fine-Tuning & Graph Analytics Company Overview: At Flowmentum, our customers are at the forefront of artificial intelligence, cybersecurity, and cloud innovation. We specialize in building advanced AI solutions for secure, scalable systems across industries. Our team collaborates on projects ranging from national security initiatives to cutting-edge commercial applications. Join a mission-driven environment where your research and development efforts directly impact real-world challenges. Job Description: We are seeking a talented and motivated AI/ML Engineer with a strong foundation in large language models (LLMs), NLP, and graph analytics to join our growing AI/ML division. You will work across the stack — from data pipelines to distributed training to full-stack applications — and directly contribute to solving complex real-world problems. This role is ideal for a candidate passionate about applying machine learning to cybersecurity, language technologies, and secure systems modeling. Responsibilities: • Fine-tune and deploy large language models (LLMs) using distributed systems and cloud platforms (AWS SageMaker, ECS). • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for structured and unstructured data. • Build full-stack applications using TypeScript, React, and Next.js to support AI/ML products. • Conduct graph analytics and implement pattern-of-life modeling for anomaly detection and cybersecurity applications. • Design and manage PostgreSQL schemas and data pipelines (e.g., Apache NiFi) for ingestion into Elasticsearch. • Collaborate with cross-functional teams to operationalize machine learning models into production environments. Qualifications: Required: • Bachelor’s degree or higher in Computer Science, Mathematics, Data Science, or related fields (Master’s preferred). • 2+ years of professional experience (including internships/research assistantships) in machine learning, NLP, or AI. • Hands-on experience fine-tuning LLMs with frameworks like PyTorch, Hugging Face, or JAX. • Proficiency in Python and TypeScript programming. • Experience building or contributing to full-stack applications with React/Next.js. • Strong grasp of distributed systems and use of cloud platforms (AWS preferred). • Solid knowledge of SQL and data modeling. • Experience working with graph databases (Neo4j) or graph-based machine learning. Preferred: • Familiarity with Docker, Slurm, or Azure AI Services. Soft Skills: • Strong analytical, problem-solving, and communication skills. • Proactive and able to work independently in a remote or hybrid setting. • Passion for learning and applying new AI/ML techniques to real-world problems. What We Offer: • Competitive salary + performance bonus. • Remote-first culture with flexible working hours. • Collaborative, mission-driven team environment.