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.