Software Engineer

Softheon • Town of Brookhaven, NY

5h • $91,000 - $120,000 • Onsite

About The Position

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

• Bachelor’s degree in Computer Science, Engineering, or related field is required.
• 0–2 years in software development, preferably in healthcare technology.
• Python for AI/ML development and scripting.
• Containerization (Docker) and orchestration concepts.
• REST API development or integration for AI services.
• Modern frontend frameworks (Svelte or similar) for AI-driven interfaces.
• Git version control and CI/CD pipelines.
• Must get the AZ900 and AI900 certification within 180 days if not already certified
• Strong problem-solving and analytical thinking.
• Collaboration and communication.
• Ability to work independently with minimal guidance.
• Basic AI evaluation: accuracy, hallucination detection, performance metrics.
• Software engineering principles and rapid skill learning.
• LLMs and Generative AI concepts (prompt engineering, embeddings, model APIs).
• RAG architectures and vector databases (Weaviate, Pinecone, etc.).
• Model deployment frameworks (vLLM, Hugging Face, Ollama, etc.).
• Passion for AI and emerging technologies.
• Eagerness to learn and adapt in a fast-evolving field.

Nice To Haves

• Masters degree is preferred
• Cloud/on-prem AI infrastructure with GPU workloads (nice to have).

Responsibilities

• 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.
• 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: Work effectively with both internal and external teams to address software issues and contribute to transactional procedures, ensuring cooperative problem resolution.
• 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.
• 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.
• 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.
• 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.
• Collaborate with the Talent team to actively engage in the hiring and recruitment process, including but not limited to participating in interviews.
• Leverage industry networks and expertise to identify and attract top talent that aligns with the company's objectives and values.
• Provide guidance and mentorship to team members within your department and across diverse functions.
• Play an integral role in shaping and reinforcing the overall company culture, promoting values that enhance teamwork, collaboration, and employee engagement.
• Must be available for on-call duty during peak periods, providing support outside of regular working hours as needed to ensure the timely resolution of critical issues.

Benefits

• Base Salary of $91,000 - $120,000/yr
• Work from your home company with a one-time home office stipend
• Comprehensive benefits package that includes health, vision and dental coverage for you, your spouse and dependents
• Additional benefits, including a monthly wellness stipend and internet stipend, 401K w/ a match; immediately vested, employee assistance program, disability/life insurance, and parental leave
• 15 days to discretionary PTO based on YOS
• 9 additional paid holidays
• Referral bonuses, discretionary bonus program, spot bonuses and professional development opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 101-250 employees