Provectus

Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs Implement and optimize RAG systems for production use cases Design and build LLM-based and agentic AI solutions that address real client business challenges Own the technical direction of client engagemen

Experience 6+ years of hands-on engineering experience with production systems, not just building POCs. Full-stack mindset, comfortable across AI, Backend development, Data, and cloud infrastructure. Autonomous working style — you drive work forward without needing heavy process overhead. Experience

Lead the design and implementation of data and AI/ML architecture solutions across cloud and on-premise platforms. Lead complex customer engagements, providing strategic technical vision and aligning solutions with customer business goals. Build and maintain strong relationships with key customer st

Technical Leadership (40%) - Set technical direction and standards for ML projects - Make architectural decisions for ML systems - Review and approve technical designs - Identify and address technical debt - Champion best practices in ML engineering - Troubleshoot complex technical challenges - Eval

Technical Delivery (60%) - Design and implement end-to-end ML solutions from experimentation to production; - Build scalable ML pipelines and infrastructure; - Optimize model performance, efficiency, and reliability; - Write clean, maintainable, production-quality code; - Conduct rigorous experiment