Senior Data Scientist - LLM / RAG

We are seeking an experienced and highly motivated Strong Python Developer to support the development of LLM-based solutions for a contract digitization and standardization platform. The ideal candidate will have a strong software engineering background , with experience in serverless computing, AWS infrastructure, and prompt engineering As part of a cross-functional team, focus would be on engineering excellence, performance optimization, and automation , ensuring the seamless integration of AI capabilities into production workflows. Work requires a deep understanding of scalable cloud architectures , and the ability to navigate the complexities of deploying AI applications in real-world enterprise environments . This role focuses on building and optimizing AI-powered applications rather than training custom machine learning models.

Key Responsibilities :

• Design, develop, and optimize LLM-powered applications for contract digitization and standardization workflows.
• Build and deploy scalable, serverless architectures leveraging AWS services.
• Integrate LLMs using Amazon Bedrock and Bedrock Knowledge Base and fine-tune the prompts to optimise for efficiency.
• Work on Sagemaker AI and Jupyter notebooks to evaluate LLMs
• Develop event-driven workflows using AWS EventBridge, API Gateway, Step functions and Lambda.
• Index and retrieve contract data efficiently using OpenSearch.
• Implement and maintain infrastructure-as-code (IaC) solutions using Terraform.
• Collaborate with cross-functional teams including Architects, Engineers, and Legal Experts to improve contract processing workflows.
• Follow agile development processes with a focus on delivering production-ready, testable code in small iterations.
• Maintain CI / CD pipelines to ensure seamless integration, testing, and deployment of AI applications.
• Monitor and troubleshoot production systems, proactively identifying and resolving issues related to scalability, performance, and reliability.

Stay up to date with advancements in RAG / LLMs, prompt engineering, and cloud-based AI deployment best practices.

Required Skills & Experience :

(ref : hirist.tech)