Applied AI Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Applied AI Engineer based in United States. Join a forward-thinking engineering team building production-grade artificial intelligence solutions that solve complex real-world business challenges. In this role, you'll work across the full AI lifecycle—from model development and optimization to deployment and production monitoring—leveraging cutting-edge technologies in machine learning, large language models, computer vision, and natural language processing. You'll collaborate with cross-functional teams to deliver scalable, high-performance AI applications while contributing to best practices and technical innovation. This position offers the opportunity to work on impactful projects in a fully remote environment, combining research-driven thinking with hands-on engineering to bring advanced AI capabilities into production. \n 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. \n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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