Collaborate to design, develop, and deploy end-to-end Agentic AI solutions.
Build and maintain scalable middleware and microservices integrating APIs, AI/ML, databases, and
Ensure reliability, observability, security, and performance of AI systems in production.
Mentor junior engineers and contribute to internal AI frameworks and accelerators.

🎯 Requirements

Bachelor's or master's in CS, Engineering, Data Science, or related field.
Expertise in Python, PySpark, Generative AI, LangChain, LangGraph, prompt engineering.
Hands-on with AWS and/or GCP.
Knowledge of vector databases such as Qdrant and Chroma is a plus.
Version control with Git, GitHub, and Bitbucket.
Ability to translate business requirements into scalable, production-ready AI solutions in Agile

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