Posted:1 day ago|
Platform:
Remote
Full Time
Key Responsibilities
Develop and deploy Generative AI solutions using AWS Bedrock (Knowledge Bases, Agents) and LangChain.
Design RAG systems with Amazon Aurora PostgreSQL (Vector DB) and optimize LLM prompts (e.g., Claude 3.5 Sonnet).
Implement document processing pipelines using Amazon Textract (OCR), S3 event triggers, and Lambda.
Orchestrate multi-agent workflows with AWS Step Functions and EventBridge.
Integrate RabbitMQ for asynchronous data handling and ensure data validation with PostgreSQL/MySQL.
Collaborate with cross-functional teams to align AI solutions with business needs.
Must-Have:
4+ years in Python (Boto3, Pandas, NumPy) and LangChain/similar frameworks.
Strong AWS expertise: Lambda, S3, Textract, Bedrock, Aurora PostgreSQL, Step Functions.
Experience with LLM prompt engineering (Claude 3.5, GPT-4) and RAG pipelines.
Knowledge of vector databases, OCR, and document processing (financial/legal domains).
Glansa Associates
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