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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy Generative AI applications leveraging LLMs and foundation models with RAG architecture.
Build and optimize AI data pipelines and scalable APIs/microservices integrating AI with AWS, GCP, and Snowflake platforms.
Fine tune, evaluate, and monitor AI model performance ensuring data security, governance, and collaboration with engineering and business teams.
Minimum Requirements
Strong programming experience in Python.
Experience with Generative AI, LLMs, Prompt Engineering, and RAG architectures using frameworks like LangChain and LlamaIndex.
Hands-on experience with AWS or GCP cloud platforms and Snowflake data integration/optimization.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in deploying scalable AI solutions in cloud environments with deep knowledge of vector databases and microservices.
Skilled in end-to-end AI pipeline development including prompt engineering, memory management, and agent orchestration.
Comfortable working cross-functionally with data engineers, ML engineers, and business stakeholders to optimize AI solutions.