Job Description

**Why We Exist**

Nurse triage is the first touchpoint for most pediatric care—and it's
overwhelmed. High call volume, manual workflows, incomplete documentation, and
misaligned reimbursement leave clinicians exhausted and patients waiting.

Lucea Health is building an AI-native triage platform that:

* Handles patient intake autonomously via AI voice + text
* Assists nurses using evidence-backed protocols
* Extracts structured clinical data from unstructured conversations
* Generates EHR-ready documentation automatically
* Hands off to nurses with full context when human judgment is needed

We're not replacing nurses. We're removing the administrative burden that
pulls them away from care.

We're live with our first design partner, have validated that automation (not
just augmentation) is where the value lives, and are now focused on making our
AI workflows production-ready for active use by clinicians.

**Why This Role Matters**

Our core product is AI. The quality of our LLM outputs—transcripts, data
extraction, clinical summaries, autonomous agent conversations—is the
difference between a product nurses trust and one they don't.

We're looking for a senior engineer to own AI quality and reliability across
our platform. You'll ship production code, tune prompts, build eval
frameworks, and fix the edge cases that matter in healthcare. This is a
compliance-critical environment; HIPAA, encryption, and auditability aren't
optional.

As a small team with a technical, product-focused CEO, you'll have direct line
of sight to product strategy and direction. This is a hands-on building role,
not a research role.

**What You 'll Own**

**AI Quality and Reliability**

* Own prompt engineering across our LLM workflows (transcription, data extraction, note generation, autonomous agent)
* Build evaluation and testing frameworks for non-deterministic outputs
* Identify and fix hallucination risks, extraction failures, and edge cases
* Design guardrails, fallbacks, and confidence thresholds for clinical safety
* Instrument and monitor AI system performance in production

**Production LLM Systems**

* Design and improve our LLM orchestration (multi-step workflows, context management, cost/latency tradeoffs)
* Work with real-time voice and streaming data (Twilio, Anthropic, OpenAI, Livekit, transcription pipelines)
* Build infrastructure for prompt versioning, A/B testing, and iteration
* Optimize for reliability, latency, and cost at scale

**Backend & Platform**

* Build and maintain core backend systems (Python, Node.js, PostgreSQL, Redis)
* Evolve our data models for clinical information extraction
* Shape API design and system architecture decisions as we scale

**What We 're Looking For**

**Must Have**

* 5+ years building production software, including backend systems
* AI-native - you use AI coding tools daily and ship faster because of it
* Hands-on experience building and shipping LLM-powered features (not just prototypes)
* Strong intuition for prompt engineering and working with foundation models
* Experience designing evaluation frameworks for AI systems
* Comfort with ambiguity, you can take a fuzzy problem and drive it to a working solution
* Product sense, you understand that AI quality is a user experience problem, not just a technical one
* Collaborative mindset, actively shares knowledge with teammates, contributes to a positive and supportive team environment

**Strong Signals**

* Experience with real-time or streaming systems (voice, telephony, WebRTC, ASR)
* Background in healthcare, clinical workflows, or regulated environments
* Experience with multi-agent or multi-step LLM orchestration
* Familiarity with AI safety, guardrails, or reliability engineering for ML systems
* Track record of improving AI system quality through systematic iteration

**Our Founders**

Lucea was founded by a pediatrician and a healthcare technologist, married
with four kids, who lived with the problem before they decided to fix it.
Kevin King (CEO) — Built his career at the intersection of investing and
product: Goldman Sachs, General Catalyst partner, co-founder of 53 Stations (a
$190M fund with the Pritzker family). MIT Sloan MBA, CFA. Now on the founder
side, leading product at Lucea.
Caitlin King, MD (CMO) — Spent five years at Goldman Sachs (even completed her
CFA), then walked away to become a doctor. Board-certified pediatrician with
her own MGB-affiliated practice. Tufts Medical School, Brandeis MBA. Caitlin
lives the triage workflow every day.

**Compensation and Benefits**

💵 Salary and Equity: Base salary ($170k–$210k) + Early stage equity. You’ll be
one of our first four engineers.
🏥 Health: Medical, dental, and vision insurance. Full individual premium
coverage plus we contribute to your HSA.
🏦 Matching 401(k): We’re building for the long-term. We help you do the same.
🏖️ Unlimited PTO: Burnout doesn’t ship or sell products. Take the time you
need to recharge.
💪 Fitness stipend: Work is better when you take care of yourself. We support
your health.
🍜 Lunch: Daily lunch in the office. We often eat together which matters.
💻 Office setup: Standing desk, quality monitor, and whatever gear you need to
work well.
🚉 Commuter benefit: Showing up matters. We help you get here.

**Apply here:** [Senior Software Engineer - AI
Systems](https://tally.so/r/RGPoDP)