Applied AI Engineer

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities:

• Design, develop, and deploy scalable AI and machine learning solutions that address complex business challenges across production environments.
• Build, optimize, and maintain end-to-end machine learning training and inference pipelines to ensure efficiency, reliability, and performance.
• Train, fine-tune, evaluate, and deploy deep learning and large language models using modern AI frameworks and best practices.
• Collaborate with software engineers, data scientists, product teams, and business stakeholders to deliver robust AI-powered applications.
• Monitor model performance, data quality, and production systems, implementing improvements to maximize scalability and operational reliability.
• Document technical solutions, development processes, and implementation standards while contributing to AI engineering best practices.
• Continuously evaluate emerging AI technologies and methodologies to improve existing systems and accelerate innovation.

Requirements

• 6+ years of professional experience in applied AI, machine learning, deep learning, or related engineering roles.
• Strong programming expertise in Python, with hands-on experience using PyTorch, JAX, or equivalent deep learning frameworks.
• Proven experience building and deploying production AI systems involving large language models (LLMs), natural language processing, computer vision, and machine learning pipelines.
• Solid understanding of machine learning theory, statistics, model evaluation, and performance optimization techniques.
• Experience developing scalable ML infrastructure, distributed training workflows, and production deployment pipelines.
• Familiarity with modern AI techniques such as LLM fine-tuning, Retrieval-Augmented Generation (RAG), agentic AI, multimodal AI, or similar advanced architectures is highly desirable.
• Contributions to open-source AI projects, published research, or experience with Responsible AI principles are considered strong assets.
• Excellent analytical, problem-solving, communication, and cross-functional collaboration skills.

Benefits

• Fully remote opportunity available across the Continental United States.
• Competitive annual salary ranging from $100,000 to $150,000, based on experience and qualifications.
• Full-time, direct employment with long-term career growth opportunities.
• Opportunity to work on innovative AI, machine learning, and enterprise-scale technology projects.
• Collaborative engineering environment with exposure to modern AI frameworks and production technologies.
• Supportive culture focused on continuous learning, technical excellence, and professional development.