Staff Software Engineer - AI Workflow Development

PHIL • San Francisco, CA

273d

About The Position

PHIL is seeking a talented and experienced Staff Software Engineer - AI Workflow Development to lead the technical vision and implementation of intelligent agents across our operational platform. This role will focus on leveraging large language models (LLMs) to optimize key pharmacy workflows, automate manual processes, and summarize complex documentation to support faster, higher-quality decision-making by our internal teams. Reporting to the Head of Engineering, you will serve as the senior technical lead on LLM initiatives, collaborating cross-functionally with Engineering, Product, and Operations to identify opportunities, architect robust solutions, and bring them into production in a highly regulated environment.

Requirements

• Bachelor's degree in Computer Science, Data Science, or a related field (or equivalent experience)
• 6+ years of progressive experience in software engineering or applied AI, including 2+ years working directly with LLMs or NLP technologies
• Proven experience building and deploying LLM-powered tools or agents in production environments
• Expertise with Python and frameworks such as LangChain, LlamaIndex, or RAG architectures
• Strong understanding of prompt engineering, model fine-tuning, vector search, and summarization techniques
• Experience leading cross-functional projects and influencing roadmap decisions from a technical lens
• Ability to thrive in a fast-paced, startup environment with shifting priorities and complex workflows

Nice To Haves

• Familiarity with healthcare or pharmacy operations, including HIPAA-compliant data practices

Responsibilities

• Design, build, and deploy scalable LLM-powered agents to automate and optimize operational workflows such as documentation processing, prior authorization reviews, and internal communication summaries
• Serve as the technical lead for LLM architecture decisions, including model selection, prompt engineering, orchestration frameworks, and retrieval augmentation pipelines
• Collaborate with cross-functional stakeholders to translate business problems into AI-powered solutions, identifying the highest-leverage areas for automation
• Develop and maintain internal tooling to evaluate model performance, improve accuracy, and measure business impact
• Champion responsible AI practices, including reliability, traceability, and HIPAA-compliant handling of patient-related data

Benefits

• Ground floor opportunity with one of the fastest-growing startups in health-tech
• Fully remote working environment
• Competitive compensation (commensurate with experience)
• Full benefits (medical, dental, vision)
• 401(k) contribution opportunity

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 101-250 employees