LLM Ops Engineer

Pattern is seeking an LLM Ops Engineer to join their Engineering team in a hybrid work environment based in Pune, India. This role focuses on building and maintaining AI/LLM workflows in production environments, with a particular emphasis on developing a self-serve LLM Ops platform using Opik by CometML. The ideal candidate will bridge the gap between data science and engineering teams, optimizing AI system performance while ensuring reliability and efficiency.

The position requires a mix of technical expertise in Python programming, AI/ML technologies, and cloud platforms (AWS), along with strong collaborative skills. You'll be responsible for implementing performance metrics, running experiments, and creating evaluation processes that maintain high-quality AI system performance. The role involves working with cutting-edge AI technologies including OpenAI, Anthropic, and Bedrock, while applying statistical concepts and NLP tools to measure and improve system performance.

This is an excellent opportunity for a mid-level engineer with 3-5 years of experience in MLOps or related fields who wants to work at the intersection of AI operations and engineering. You'll have the chance to impact how AI systems are deployed and monitored at scale, while working with cross-functional teams to create robust AI workflows. The hybrid work environment offers flexibility while maintaining collaborative opportunities with colleagues.

The role combines technical depth with strategic thinking, as you'll need to balance system performance with cost optimization while maintaining high accuracy standards. If you're passionate about AI operations, have strong Python skills, and enjoy collaborative problem-solving, this position offers significant growth potential in the rapidly evolving field of AI/ML operations.