Staff Software Engineer - AI Workflow Development

Company Overview
Founded in 2015, PHIL is a Series D health-tech startup that is building a platform that interfaces between doctors, pharmacies, and patients to streamline the process of patients receiving prescriptions. This is a complex, archaic industry, and we've set out to change that.

PHIL’s B2B2C platform provides an end-to-end prescription management and delivery service. Our robust platform connects patients, prescribers, pharmacies, and manufacturers, enabling easy and affordable access to medicine. Through its digital stakeholder experiences, patient access services, market access solutions, and distribution models, pharma manufacturers can deliver affordable and timely therapy access to patients, resulting in more patients staying on their treatment plans longer. Consequently, pharma manufacturers are enabled for more innovation.

The team at PHIL  is a group of like-minded individuals from varying backgrounds, passionate about creating a new and innovative healthcare platform that is focused on patient experience and overall human wellbeing. Ready to join our team of mission-driven, analytical, and passionate people? Keep reading!

Position Overview
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.

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
  

Qualifications:

• 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

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

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

PHIL, inc is an equal opportunity employer