Applied AI Engineer

📋 Description

• Design, develop, and deploy scalable AI/ML solutions across production environments.
• Build, optimize, and maintain end-to-end ML training and inference pipelines.
• Train, fine-tune, evaluate, and deploy DL and LLMs with modern frameworks.
• Collaborate with engineers, data scientists, product teams to deliver AI apps.
• Monitor model performance, data quality, and production systems; improve scalability.
• Document technical solutions and development processes; contribute to best practices.
• Evaluate emerging AI technologies to improve systems and accelerate innovation.

🎯 Requirements

• 6+ years of professional experience in applied AI, ML, DL, or related roles.
• Strong Python skills with PyTorch or JAX experience.
• Experience deploying production AI systems with LLMs, NLP, CV, and ML pipelines.
• Solid ML theory, statistics, model evaluation, and optimization.
• Experience building scalable ML infrastructure, distributed training, and deployment pipelines.
• Familiarity with LLM fine-tuning, Retrieval-Augmented Generation (RAG), agentic/multimodal AI.
• Open-source contributions or research; Responsible AI experience assets.
• Excellent analytical, problem-solving, and cross-functional communication.

🎁 Benefits

• Fully remote across the Continental United States.
• Salary: $100,000–$150,000 depending on experience.
• Full-time direct employment with long-term growth.
• Work on innovative AI/ML and enterprise-scale projects.
• Collaborative environment with modern AI frameworks and tools.
• Culture focused on continuous learning and development.