Lead 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.
- Work closely with the Product Manager to align technical solutions with business goals and product vision.
- Lead and mentor a team of engineers, providing technical guidance, code reviews, and fostering a collaborative team environment.
- Coordinate with cross-functional teams, including QA, DevOps, and UX/UI designers to ensure seamless integration and delivery of features.
- Define and enforce best practices and coding standards within the team.
- Manage project timelines, identify risks, and implement mitigation strategies to ensure timely delivery of high-quality solutions.
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