Description

You will develop and optimize full-stack applications within the claim repository while integrating LLM solutions to automate manual processes.

This role is on-site.

Responsibilities

• Optimize existing full-stack code for performance, readability, and scalability.
• Embed and improve the existing BARD solution into the claim repository tool.
• Build a claim LLM to automate intake guidance, feedback summarization, and action item identification.
• Develop functional upgrades including access control based on business requirements.
• Write and review technical documentation and participate in collaborative code reviews.

Required Skills

• 7+ years of experience in modern Python development.
• 5+ years of experience deploying applications on GCP.
• Proficiency in building and tuning apps on App Engine or equivalent serverless platforms.
• Practical experience with extraction, transformation, and aggregation of large datasets.
• Experience using combinatorics, statistical methods, and advanced mathematical methods for problem-solving.
• Familiarity with unit testing, version control, and continuous integration.
• Knowledge of Python3 standards and code readability principles.
• Experience with Python, SQL, Java, or .Net.

Preferred Skills

• Experience working with SQL processes or SQL-based backend instances.
• Ability to document progress and streamline processes for non-technical teams.

Key Skills

Education

BA/BS in Computer Science