Software Engineer - Gen AI - Post Billing Processing System

Position Overview

We are seeking a highly skilled and motivated Software Engineer to join our team responsible for developing a robust Post Billing Processing system. The ideal candidate will have a strong background in software development, experience with AI/LLM technologies, and a keen understanding of the healthcare insurance domain. This role will involve designing and implementing automated workflows, template generation engines, and AI-enhanced modules to optimize the process of appealing denied insurance claims.

Responsibilities

- Design, develop, and maintain the Post Billing Processing system components, including the Denial Code Manager, Workflow Orchestrator, Template Generation Engine, AI/LLM Enhancement Module, Testing and Optimization Module, Outbound Package Preparation, and Automated Outbound Communication.

- Collaborate with business stakeholders to understand requirements and translate them into technical specifications.

- Implement AI/LLM technologies to enhance denial letter templates for improved payor acceptance.

- Develop and execute A/B testing and hyperparameter tuning strategies to optimize template parameters.

- Create and maintain comprehensive documentation for system components, workflows, and processes.

- Ensure data security and compliance with healthcare regulations and standards.

- Provide ongoing support and maintenance for the system, troubleshooting and resolving issues as needed.

- Stay updated with the latest advancements in AI/LLM technologies and incorporate relevant innovations into the system.

Skills and Qualifications

Technical Skills

- Experience with cloud platforms (AWS) and containerization technologies (Kubernetes).

- Strong analytical and problem-solving skills.

- Extensive experience with generative AI technologies and frameworks.

- Proficiency in using LangChain and LangGraph for building and managing AI models.

- Knowledge of applying generative AI for creating domain-specific solutions.

- Understanding of prompt engineering and various LLMs for specific use cases.

- Experience in integrating generative AI models into existing systems and workflows.

Soft Skills

- Excellent communication and collaboration skills.

- Ability to work in a fast-paced, dynamic environment.

- Strong organizational and time management abilities.

- Attention to detail and commitment to delivering high-quality solutions.

Education

- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.

Experience

- Hands on with LLMs (In previous projects) and worked on product development using LLMs. Such as, Open AI APIs, Open Source LLMs (Llama2, Mistral, Mixtral etc.,)

- Hands on experience with Vector Database & Graph DB (Pinecone, Milvus, Neo4j)

- Solid understanding on framework like Langchain/LangGraph, Haystack and ability to use Agentic Workflows using those frameworks

- Strong proficiency in programming languages such as Python, NodeJs.

- Experience with workflow automation such as AWS Step Functions.

- Hands-on experience with building RAG solutions.

- Plus: Ability to use advanced techniques like HyDE and LLM reranking for effective semantic search for RAG systems. Hands-on experience in creating Embedding using Ada models