Design and implement scalable Generative AI architectures for production environments, ensuring security, performance, and reliability.
-Build and deploy Python-based services and agentic workflows using frameworks like LangGraph, CoPilot Studio, or NAAN
-Lead the integration of LLMs, RAG pipelines, and vector databases into enterprise applications to enable intelligent automation and retrieval-augmented generation.
-Oversee deployment operations, automation, and observability to ensure robust, maintainable, and compliant GenAI systems
-Evaluate and recommend emerging LLMs, tools, and platforms for responsible and effective use in real-world solutions.

Qualifications

-3+ years of experience in AI/ML engineering, software architecture, or related fields, with at least 1.5+ years focused on Generative AI or LLM-based systems.
-Strong proficiency in Python, with hands-on experience building and deploying GenAI services, APIs, and orchestration logic.<...