Senior NLP Software Engineer - AWS, LLMs

This is a part time position that will require 2-3 hours of your attention every day after standard Indian Business Hours. (10-15 hours weekly) As a Senior Software Engineer, you'll play a pivotal role in designing intricate solutions, and then leading their development to fruition, with a particular emphasis on using AWS Lex, Python, NLP, and Large Language Models. Key Responsibilities: • Architect and develop complex software solutions following agile/XP/TDD methodologies • Spearhead the EHD chatbot agile team, crafting solutions that offer superior user experiences while aligning with business needs • Establish industry best practices for Large Language Models, NLP, AWS Lex, and Python backend • Guide and nurture the professional growth of junior and senior software developers • Independently write efficient and well-organized code • Collaborate cross-functionally with designers, developers, and product owners to build transformative solutions • Maintain open and clear communication on team-wide progress, and proactively address any process or pattern impediments • Oversee paired programming and code reviews, fostering team-wide knowledge sharing and understanding of software engineering • Conduct independent research to refine best practices and share findings with the team • Transform complex ideas into actionable tasks for efficient execution by the product team • Provide technical insights to leadership to build innovative and sustainable solutions • Understand the business drivers of a product and guide the technical direction of the product to meet its desired vision Required Qualifications: • Minimum 7 years of experience in software development, or 7 years of experience coupled with an Associate Degree in an IT-related field. Ideally, candidates will present a portfolio of their work. • Essential skills: Proficiency in AWS Lex, Terraform, Python, AWS Connect, API development, API gateway, NLP, LLMs, AWS Lambda development experience • Preferred skills: Familiarity with secure coding practices • Experience across a variety of software solutions, achieved through a balance of independent research/projects and industry expertise • Demonstrable understanding of functional programming and the application of functional concepts across languages • Ability to work comfortably across multiple platforms • Ability to deconstruct complex ideas into user stories, provide reliable task estimates, and segment complex tasks into manageable components • Previous collaborative experience within a cross-functional team setting • In-depth understanding of the software development life cycle • Proven ability to debug and develop robust solutions to avoid future issues • Proven ability to learn from past experiences, to analyze mistakes/successes, draw conclusions, and design better solutions for the future • Experience creating solutions with the team's collective efficiency in mind • Proven experience in mentoring team members at various levels • Solid understanding of cybersecurity principles like authentication, authorization, and encryption, and familiarity with common attack vectors and how to mitigate them • Familiarity with one or more CI/CD stacks and associated best practices