Senior Applied AI Engineer - Remote

Stack

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

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
• ▹Familiarity with cloud ML services such as SageMaker, Vertex AI or similar
• ▹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
• ▹Excellent written and verbal communication skills in English

Nice to have

• ▹Experience with LLMs, RAG systems and vector databases

Soft skills

About the company

Conqr AI is an early-stage startup building AI solutions for regulated, document-heavy professional workflows, with a focus on privacy, security and reliability. ClanX is the recruitment partner.