Description

You will design and implement enterprise-level Generative AI solutions and agentic workflows using AWS services.

Responsibilities

• Develop Python-based REST APIs using Flask, FastAPI, and AWS API Gateway.
• Build event-driven architectures utilizing AWS Lambda, Step Functions, and EKS.
• Implement RAG pipelines using embedding models, vector databases, and search methods.
• Engineer prompts and evaluate Large Language Model (LLM) performance and RAG outputs.
• Manage GenAI DevOps pipelines and CI/CD workflows.

Required Skills

• 5+ years of professional programming experience with Python.
• Hands-on experience with AWS Bedrock, including Claude, Titan, and Guardrails.
• Proficiency in AWS services: Lambda, EKS, DynamoDB, S3, RDS, CloudWatch, and Step Functions.
• Experience with OpenSearch Serverless and Vector DB implementations.
• Strong understanding of Large Language Models (LLMs) and Natural Language Processing (NLP).
• Experience with agentic workflow orchestration.
• Knowledge of cloud environments including AWS, Azure, or Google Cloud.
• Ability to design and deploy scalable REST APIs.

Preferred Skills

• Experience deploying GenAI solutions at an enterprise level.

Key Skills

Education

Any Graduate