Exciting Opportunities For Python

Dear Folks,

Greetings

We have an exciting opportunities for Python / LLM Developers @ TAO Digital ).

Interested candidates kindly revert with your updated resume to the following email ID ASAP )

Details of the role:

Experience: 6+ years

Job Description:

We are seeking an experienced and highly motivated 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 LLMs, prompt engineering, and cloud-based AI deployment best practices.

Required Skills & Experience:

• 4+ years of software development experience with a focus on building and deploying highly scalable backend systems.
• Strong proficiency in Python, with experience in API development, event-driven architectures, and cloud-native applications.
• Hands-on experience of working with LLMs in production environments.
• Experience in serverless computing using AWS services such as Lambda, API Gateway, EventBridge, and S3.
• Hands-on experience with Amazon Bedrock Knowledge Base and integrating LLMs for document processing.
• Solid understanding of data structures, software architecture, and system design princeiples
• Familiarity with prompt engineering techniques to optimize LLM performance.
• Familiarity with Any vector data store for indexing and retrieval of contextual information based on embeddings.
• Experience with Terraform for managing AWS infrastructure as code (IaC).
• Knowledge of CI/CD pipelines, including automation of testing, deployment, and monitoring.
• Excellent problem-solving and analytical skills, with attention to detail in optimizing AI workflows.
• Strong communication skills and ability to work in a cross-functional team environment.
• Bachelors or Masters degree in Computer Science, Engineering, or a related field.