Description

You will design and implement Retrieval Augmented Generation (RAG) solutions and multi-agentic systems for real-world use cases.

This role is on-site.

Responsibilities

• Develop multi-agentic solutions using GenAI frameworks and orchestration approaches.
• Build and deploy GenAI-driven proof-of-concepts quickly, then harden for production.
• Integrate and manage vector database components, such as Chroma DB, to support retrieval workflows.
• Evaluate GenAI solution performance, including latency, accuracy, and quality, iterating based on results.

Required Skills

• 6+ years of experience building and deploying AI/GenAI solutions.
• Strong proficiency in Python for building GenAI applications and integrating model workflows.
• Hands-on experience with AWS and AWS Cloud for deploying and operating GenAI services.
• Expertise in AWS Bedrock for building and deploying generative AI solutions.
• Proven track record with Generative AI solution development, specifically RAG-based architectures.

Preferred Skills

• AI/ML experience for model evaluation, experimentation, and applied ML concepts.

Key Skills

Education

Any Graduate