Senior Applied AI Engineer - 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: Requirements • Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • 3+ years of experience as an AI Engineer, Machine Learning Engineer, Applied AI Engineer, or similar role. • Strong experience training, fine-tuning, and deploying machine learning models to production. • Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and scikit-learn. • Experience operating and maintaining production ML systems. • Hands-on experience with AWS, GCP, or Azure cloud platforms. • Familiarity with cloud ML services such as SageMaker, Vertex AI, or similar platforms. • Strong understanding of API design and distributed system architecture. • Experience implementing MLOps practices, CI/CD pipelines, and model monitoring. • Experience with Docker and Kubernetes. • Knowledge of PostgreSQL and modern data infrastructure. • Experience with LLMs, 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. Highlights Build and deploy real-world AI systems, train and fine-tune models, and own the complete journey from research to production impact. Originally posted on Himalayas