Senior Applied AI Engineer (Fine Tuning) - Remote

Applied AI Engineer with 3+ years of experience in core machine learning, model training, fine-tuning, and production deployment, building scalable AI systems and LLM-powered applications. Company Details Conqr AI is an early-stage startup building AI solutions for regulated, document-heavy professional workflows. The company focuses on privacy, security, reliability, and delivering high-impact AI products for enterprise users. Website: https://www.conqr.ai/ Requirements - 3+ years of overall experience as an AI Engineer - Strong hands-on experience with fine-tuning AI/ML models for production use cases. - Experience with LLM fine-tuning, including model selection, dataset preparation, training, evaluation, and optimization. - Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and scikit-learn. - Experience deploying and maintaining fine-tuned models in production environments. - Familiarity with techniques such as LoRA, QLoRA, PEFT, and parameter-efficient fine-tuning. - Experience working with model evaluation, monitoring, and performance optimization. - Hands-on experience with AWS, GCP, or Azure cloud platforms. - Experience with Docker, Kubernetes, CI/CD, and MLOps practices. - Strong understanding of APIs and distributed system architecture. - Knowledge of PostgreSQL and modern data infrastructure. - Experience with RAG systems and vector databases is a strong plus. - Excellent written and verbal communication skills in English. Responsibilities - Own end-to-end delivery of production AI and ML systems from experimentation to deployment. - Train, fine-tune, and optimize machine learning models, including LLMs and open-weight models. - Build and maintain training, data processing, and inference pipelines. - Improve model performance across accuracy, latency, reliability, and cost. - Implement MLOps best practices for deployment, monitoring, CI/CD, and automated retraining. - Develop evaluation frameworks, benchmark datasets, and quality checks for production models. - Design and maintain scalable APIs and services that expose AI capabilities. - Collaborate with Product, Backend, and Frontend teams to integrate AI into customer-facing workflows. - Monitor production systems and continuously improve model and infrastructure performance. - Research and evaluate emerging AI techniques, tools, and frameworks. Job Details Location: Remote Interview Process - Recruiter Screening - Hiring Manager Discussion - Applied AI Technical Assessment - Founder Round - Final HR Discussion Important Note ClanX is a recruitment partner, helping Conqr AI hire an Applied AI Engineer.