Software Engineer (100 percent onsite position in Stony Brook, NY)

Software Engineer

Team:  Engineering

Location: Onsite (Must be located within 50 miles of 1500 Stony Brook Rd, Stony Brook, NY 11794 )

About Us: 

Join us in revolutionizing healthcare! We build software that simplifies the process of choosing the right health insurance for individuals. Our solutions help our health plan and government customers with the administration, reporting, and operational requirements of their plans. By tackling the complexities of enrollment, administration, renewal, billing, and more, we enable our customers and partners to concentrate on advancing their core missions.  

Our Company Culture: 

Our culture is built on collaboration, innovation, and appreciation. We value each employee's unique talents and contributions and understand that every individual plays a critical role in our mission to transform healthcare. Every day, we celebrate our team's dedication, creativity, and expertise, which drive us closer to our goals. 

At Softheon, our mission is making healthcare more affordable, accessible, and plentiful for every American. Our vision is that everyone can access and choose the healthcare they need. 

About the Role: 

As a Software Engineer I at Softheon, you'll embark on a journey to develop innovative healthcare software solutions, contributing to projects that have a real impact on the industry. In this role, you'll apply your technical skills and creativity to solve challenging problems, learn from experienced team members, and grow as a key contributor to our mission of transforming healthcare through technology.  

Requirements

You Will: 

Technical Excellence

• Code Development: Write clean, maintainable code using Angular and  .NET for healthcare applications, under the guidance of senior engineers.   

• Problem Solving: Tackle moderately complex coding issues, considering a variety of factors to come to a reasoned solution within established practices and guidelines.  

• Analysis and Reporting: Provide initial analyses and reports on software issues and participate in documentation creation for peer review.   

• Adaptability: Adapt and enhance existing software systems and contribute to continuous improvement initiatives within the team.  

Professional Growth

• Learning and Growth: Actively learn from more complex examples and apply basic engineering principles to everyday coding challenges.   

• Professional Development: Continuously develop technical expertise and knowledge of company policies and procedures to resolve various challenges.   

Collaboration and Communication  

• Collaboration: Work effectively with both internal and external teams to address software issues and contribute to transactional procedures, ensuring cooperative problem resolution.  

 AI/LLM Development & Integration

• Design, develop, and integrate Large Language Model (LLM) capabilities into the HAL platform, including chat interfaces, agent workflows, and AI-driven features. 

• Build and maintain Retrieval-Augmented Generation (RAG) pipelines with document ingestion, embedding generation, vector database integration, and query optimization. 

• Develop, test, and refine prompts, system instructions, and evaluation frameworks to improve model accuracy, reliability, and user experience. 

Model Deployment & AI Infrastructure 

• Deploy and manage open-source and proprietary LLMs (e.g., via vLLM, Ollama), optimizing for performance, cost, and scalability. 

• Utilize Docker and container-based workflows to package, deploy, and scale AI services across environments. 

• Implement logging, tracing, and performance monitoring for AI systems, including token usage, latency, and model behavior analysis. 

Frontend & Data Pipeline Development 

• Contribute to modern web interfaces (e.g., Svelte) for intuitive AI interaction, including chat, skills, and agent-based workflows. 

• Work with structured and unstructured data sources for AI use cases, including preprocessing, transformation, and ingestion into vector stores or knowledge bases. 

Governance, Security & Innovation 

• Ensure AI solutions comply with internal governance, security standards, and responsible AI practices, including data privacy and model risk considerations. 

• Stay current with advancements in AI/ML, LLMs, and developer tooling, contributing ideas to evolve the HAL platform. 

Talent Management <