Hacker News: Legion Health (YC S21) is hiring an AI/ML Engineer

Mar 11, 2025

—

Source URL: https://www.ycombinator.com/companies/legion-health/jobs/26GxO6f-ai-ml-engineer-llm-optimization-ai-driven-workflows
Source: Hacker News
Title: Legion Health (YC S21) is hiring an AI/ML Engineer

Feedly Summary: Comments

AI Summary and Description: Yes

Summary: The text focuses on Legion Health’s mission to revolutionize mental healthcare through AI-driven operations rather than diagnostics. It emphasizes the hiring of engineers to enhance the deployment of AI technologies, specifically working with large language models (LLMs) in a mental healthcare setting.

Detailed Description: The text outlines a job opportunity at Legion Health, a telepsychiatry company that is leveraging AI to transform mental healthcare delivery. The key focus is on developing LLM-powered workflows to facilitate better patient care.

– **AI-Powered Operations**: Legion Health is not utilizing AI for diagnostics but rather for improving the efficiency of operations in mental healthcare. This distinction is crucial as it highlights a practical application of AI in a sensitive domain.

– **Role Description**:
– The position involves optimizing LLM workflows, which includes fine-tuning AI models, prompt engineering, and implementing feedback loops.
– There’s an emphasis on improving AI explainability, which is essential for gaining provider trust in AI recommendations.
– The role includes implementing retrieval-augmented generation (RAG) to enhance context-aware responses from AI systems.
– Metrics for measuring AI performance, such as decision accuracy and override rates, will also be part of the work.

– **Skill Requirements**:
– Candidates must have at least three years of experience in AI/ML engineering with a strong foundation in Python and machine learning frameworks.
– Familiarity with reinforcement learning is desirable, indicating a focus on advanced machine learning techniques.
– A compliance and security mindset is preferred, recognizing the sensitive nature of healthcare data and operations.

– **Compensation and Work Environment**:
– Competitive salary and equity are offered, suggesting an attractive package for potential candidates.
– The role promises significant autonomy, allowing engineers to shape AI technologies that directly impact patient care.

This text is significant for professionals in AI and healthcare, particularly in the context of AI deployment, ethical considerations in healthcare technology, and the importance of compliance and security. The focus on LLMs and real-world applications in mental health emphasizes the ongoing trend of integrating AI into critical sectors, raising questions about privacy, safety, and operational efficiency.

1 2 a accuracy Act AGI agnostic AI ai model AI models AI systems AI technologies alt and Application applications art as Augment augmented generation Auto autonomy C CIA companies compensation competitive compliance Context critical D data de decision deployment diagnostics domain driven e efficiency end Engineer engineering engineers environment Equity ethical ethical considerations exp experience explainability feedback feedback loops fine fine-tuning for framework frameworks g Gen generation Go H hack hacker Hacker News health Healthcare healthcare data healthcare tech healthcare technology high Highlight hiring HR http HTTPS in J job k Key l language language model language models large large language model large language models Large Language Models (LLMs) learning learning techniques least led Li llm llms lm loop low mac machine Machine Learning machine learning frameworks machine learning techniques man mental health mental healthcare metrics mission ML Mode model models my N news no NSA o of off on operation operational efficiency opt optimization out over patient care performance potential Power pre privacy professionals prompt Prompt Engine Py Python question R rag raising rate RCE real real-world applications recommendations red reinforcement reinforcement learning Requirements response retrieval Retrieval-Augmented Generation Ro Role Rust s safe safety sec sector security security mindset SHA side Sig source specific SSE system systems T tech techniques technologies technology telepsychiatry text the to Tor TP trie trust trust in AI tuning UI US use V val Ware Wi workflow workflows world applications x