Senior Applied AI Engineer

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.

• 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.

• 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.

• Recruiter Screening
• Hiring Manager Discussion
• Applied AI Technical Assessment
• Founder Round
• Final HR Discussion