Source description
About the role
Build data and AI systems end-to-end from pipelines and evaluation to production-grade LLM apps. If you enjoy shipping reliable AI features with strong engineering rigor, wed love to hear from you. Hybrid / On Site India Full Time About The OpportunityBuild data and AI systems end-to-end from pipelines and evaluation to production-grade LLM apps, with a focus on reliability, security, and maintainability. ResponsibilitiesDesign, build, and operate data pipelines and feature stores.Develop LLM/RAG workflows with evaluation and monitoring.Ship production APIs and services with reliability and security best practices.Collaborate with product and engineering teams to turn ideas into deliverables.RequirementsStrong fundamentals in backend engineering and system design.Hands-on experience with Python/Node, APIs, databases, and cloud basics.Practical exposure to ML/LLM tooling (prompting, embeddings, vector DBs, evaluation).Comfortable with testing, CI/CD, and observability. Build data and AI systems end-to-end from pipelines and evaluation to production-grade LLM apps. If you enjoy shipping reliable AI features with strong engineering rigor, wed love to hear from you. Hybrid / On Site India Full Time About The OpportunityBuild data and AI systems end-to-end from pipelines and evaluation to production-grade LLM apps, with a focus on reliability, security, and maintainability. ResponsibilitiesDesign, build, and operate data pipelines and feature stores.Develop LLM/RAG workflows with evaluation and monitoring.Ship production APIs and services with reliability and security best practices.Collaborate with product and engineering teams to turn ideas into deliverables.RequirementsStrong fundamentals in backend engineering and system design.Hands-on experience with Python/Node, APIs, databases, and cloud basics.Practical exposure to ML/LLM tooling (prompting, embeddings, vector DBs, evaluation).Comfortable with testing, CI/CD, and observability.