Software Engineer, AI Engineer

About Foundation Health

Foundation Health is transforming healthcare through an AI-powered digital pharmacy platform that seamlessly connects operational infrastructure with high quality patient experiences. Our mission is to transform patient centric care by connecting fragmented infrastructure, optimizing care coordination, and removing friction from the patient journey. We refuse to adhere to the status quo; instead, we actively pioneer solutions that will shape the healthcare practices of tomorrow.

This ambitious vision is only achievable with the dedication of the right team propelling us forward. We firmly believe that a supportive and inspiring work environment fuels creativity, transforming it into groundbreaking innovation. It is this very innovation that not only benefits our organization but also positively impacts our people, partners, and most importantly, our patients.

At Foundation Health, we foster a culture that encourages our team members to broaden their horizons, urging them to bring their passion and curiosity to the workplace each day. We understand that diverse perspectives fuel progress, and we actively seek individuals who share our commitment to excellence and forward-thinking.

Healthcare is full of complex, frustrating workflows that haven’t changed in decades. We believe that thoughtfully applied AI can finally simplify these systems, improving both the provider's workday and the patient's experience.

Specifically, we are revolutionizing the pharmacy space. We’re building AI-powered systems that integrate directly with Electronic Health Record (EHR) platforms, helping health systems operate effectively s isn't a "chatbot on a landing page" - it’s deep, integrated infrastructure that changes how care is delivered.

As a Staff Engineer, your influence extends beyond a single feature or sprint. You are a technical anchor for the entire domain, making decisions that shape our product for the next 6-12 months. You will:

• Drive Strategy
  :
  Balance short-term delivery pressure against long-term technical health, knowing exactly when to push back on requirements that create unsustainable technical cost.

• Connect the Dots
  :
  Translate complex business goals into technical implementations for leadership and represent the engineering perspective in cross-functional planning.

• Own the Outcome
  :
  You are responsible for work that is visibly connected to customer satisfaction and revenue outcomes.

• Set the Bar
  :
  Establish the technical quality bar for the team and write code that serves as the gold-standard reference implementation for others.

• System Design
  :
  Architect multi-component systems across the team's domain, producing technical design documents reviewed by the broader organization.

• Modernize
  :
  Identify systemic quality issues like tech debt hotspots or test coverage gaps, and build the roadmaps for necessary migrations and remediation.

• Tooling
  :
  Onboard new patterns and languages as business needs evolve, ensuring we make correct long-term technology choices.

We are AI-Native by Design
. You won't just build AI features; you will redefine how we work through:

• Agentic Workflows
  :
  Design AI-driven pipelines (automated code reviews, LLM-assisted QA) to multiply the team's total output.

• Technical Implementation
  :
  Contribute to AI-powered features using your working knowledge of RAG, function calling, and evaluation frameworks.

• Leadership in AI
  :
  Evaluate and select AI tooling for the team, establishing prompt libraries and workflow templates for company-wide adoption.

• Lead Work streams
  :
  Drive the delivery of entire projects across multiple engineers, managing cross-team dependencies and owning technical roadmaps tied to product milestones.

• Quality Ownership
  :
  Own the end-to-end product surface, including correctness, reliability, latency, and user experience.

• User Advocacy
  :
  Run lightweight discovery - such as user interviews or support ticket analysis - to translate findings into engineering priorities.

• Accountability
  :
  Hold the team accountable for…