Cedar
healthcare
SoftwareEngineerIII(Kora/Support)
Neural analysis suggests this role is
optimal for Mid candidates.
“Software Engineer III (Kora/Support) at Cedar. Skills: Generative AI, Large Language Models, full-stack development, cloud infrastructure, Python, TypeScript. Experimenting with and launching GenAI-powered features. Engineering development and production workflows by integrating LLMs”
What You'll Achieve.
Driving measurable impact across the stack; launching GenAI-powered features; delivering a superior experience; ship features that real patients interact with the same week; making healthcare simpler, fairer, and more transparent for patients
Industry & Context.
Demonstrated proficiency in independent, hands-on coding and problem-solving; handling complex edge cases; optimising for efficiency; delivering robust solutions within time constraints; love solving complex problems
What They're Looking For.
Must Have
Experience in Generative AI and Large Language Models, Demonstrated proficiency in independent, hands-on coding and problem-solving, Excellent communication skills, both written and verbal, A commitment to engineering best practices, including writing clean, maintainable, and well-tested code, Comfort working with non-deterministic systems
Nice to Have
4–6 years of experience, React experience is useful, polyglot-friendly
What You'll Do.
Experimenting with and launching GenAI-powered features
Engineering development and production workflows by integrating LLMs
Providing necessary context and constraints using modern practices
Evaluating output for further refinement
our first-in-class voice AI agent
to deliver personalized billing guidance
Building the infrastructure that exposes insurance information
and third-party integrations to Kora
Prompting the agent to utilize that data accurately in real-time patient conversations
Actively reviewing call transcripts and conversation logs to identify good and bad product behavior
Feeding those insights directly back into the system
Contributing to the transition from a primarily inbound voice-based agent to a multi-modal platform
Taking creative initiative
Evaluating new approaches to agent-based engineering
Developing rapid prototyping techniques
Working with the declarative AI agent platform the team uses to build Kora
Adapting quickly to a non-traditional codebase where prompting an LLM replaces hard-coded logic
How You'll Work.
Team & Collaboration
in collaboration with AI scientists; Inspiring and Leading Others; Actively contributing to team chartering; mentoring peer engineers
Communication Scope
Excellent communication skills, both written and verbal; ability to articulate complex technical ideas clearly, concisely, and with compelling examples; asking insightful clarifying questions
Process & Methodology
managing technical projects
Full Job Description
Our healthcare system is the leading cause of personal bankruptcy in the U. S. Every year, over 50 million Americans suffer adverse financial consequences as a result of seeking care, from lower credit scores to garnished wages. The challenge is only getting worse, as high deductible health plans are the fastest growing plan design in the U. S. Cedar’s mission is to leverage data science, smart product design and personalization to make healthcare more affordable and accessible. Today, healthcare providers still engage with its consumers in a “one-size-fits-all” approach; and Cedar is excited to leverage consumer best practices to deliver a superior experience. The Role We built a voice AI agent that talks to patients about their medical bills — and it works. Kora is live with real clients and growing. Now we're expanding into chat, SMS, and outbound calls with a team of five engineers. This role is full-stack in the truest sense: you'll build data integrations, engineer LLM prompts, configure infrastructure, and ship features that real patients interact with the same week. As a member of the Kora squad (formerly known as Support), your day might look like: Driving Innovation: Experimenting with and launching GenAI-powered features in collaboration with AI scientists. Harnessing Generative AI: Engineering development and production workflows by integrating LLMs, providing necessary context and constraints using modern practices, and evaluating output for further refinement. This includes context building, prompt design, and building evaluation pipelines that feed directly into Kora's live production system. Advancing Patient Understanding: Enhancing Kora, our first-in-class voice AI agent, to deliver personalized billing guidance via empathetic and compassionate communication. This means building the infrastructure that exposes insurance information, billing data, and third-party integrations to Kora — and prompting the agent to utilize that data accurately in real-
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