Principal Ai Engineer

WHO WE AREWe are a stealth-stage healthcare AI startup that is the missing link in healthcare revenue management, bridging the gap between clinical care and financial operations.We're transforming how primary care clinics capture revenue through innovative AI technology that operates at the intersection of medical documentation, billing, and value-based care compliance.In an industry where medical providers leave approximately 16% of their revenue uncollected due to insurance denials and compliance gaps, our mission is clear: enable healthcare providers to capture every dollar they've earned while uncovering new revenue opportunities.Founded by experienced entrepreneurs with successful exits in healthcare technology and backed by advisors from leading health insurance companies, we are building a virtuous cycle that improves both patient care and provider profitability.We've already secured our first client contract and are positioned for a major pilot.Our technology tackles critical challenges facing healthcare providers:Real-time AI guidance for physicians at point-of-careAutomated coding and billing optimizationIntelligent claim follow-up to reduce denialsSeamless compliance with value-based care requirementsJoin us as we build technology that enables healthcare providers to thrive in an era of value-based care, maximizing revenues in primary care at scale.WHY THIS ROLE IS PERFECT FOR YOUThis is your opportunity to shape production LLM applications that directly impact healthcare revenue and patient care.You'll work on a recently deployed AI system that automates medical coding and billing, evolving it from good to exceptional through meticulous refinement, rigorous testing, and continuous improvement.You're not just implementing AI solutions—you're building a system that must get medical coding right the first time, understand complex insurance rules that change constantly, learn from denials, and continuously improve.Every line of code you write directly affects whether healthcare providers get paid and patients receive proper care.KEY RESPONSIBILITIESVery hands-on—we're looking for a builder who obsesses over details1.Build and Refine AI ProductsDevelop and implement new business rules for medical consultation billing codes, adapting to changes from various insurance providersPropose and implement enhancements to our existing LLM-based products and optimize prompt engineering for maximum accuracyUse AI-assisted coding tools like Cursor as part of your daily workflow to rapidly build and iterate on solutions2.Ensure Quality and AccuracyConduct extensive testing in staging environments and perform detailed debugging to ensure business rules are accurately implemented—in healthcare, "mostly right" isn't good enoughVerify data consistency from input to output to guarantee the solidity of our AI productsMonitor denial patterns and implement feedback loops that continuously improve model accuracy3.Own the Development LifecycleBe responsible for the entire process from understanding business rules to deploying and validating code in productionDebug complex system integrations and validate AI outputs against medical coding standards4.Collaborate and Drive ImprovementWork closely with AI, Tech, and Data Engineering teams to maintain complete understanding of the end-to-end processProactively identify critical issues, propose improvements, and stay current with new tools and techniques in the AI and LLM spaceIn the near future, contribute to fine-tuning specialized LLM models with our internal knowledge baseREQUIRED EXPERTISE1.Technical SkillsStrong proficiency in programming languages like Python or GoHands-on experience building products on top of large language models (LLMs)Experience with LLM APIs (AWS Bedrock, OpenAI, Anthropic Claude, or similar)Strong prompt engineering skills with focus on accuracy and consistencySolid understanding of how LLMs work and how to leverage them for production applicationsComfortable working with cloud platforms (AWS preferred) and databases (PostgreSQL)2.Mindset & ApproachMeticulous attention to detail with a strong capacity for debugging and code validationAbility to work effectively in a fast-paced, ever-changing startup environmentProven ability to learn new tools, frameworks, and business rules quicklyA self-starter who can work independently but also collaborate effectively within a small teamPossesses a "big picture" perspective, understanding how your work fits into the entire end-to-end process from client data entry to insurance billing3.Highly Valued QualificationsExperience with AI-assisted coding tools like Cursor, GitHub Copilot, or similarExperience working in a startup or similar environment with constant changeFamiliarity with RAG (Retrieval Augmented Generation) architecturesExperience with LLM orchestration frameworks (LangChain, LlamaIndex, or similar)Previous experience in healthcare technology, particularly with medical coding, billing, or revenue cycle managementHealthcare Domain Knowledge: Not required, but you must be willing and able to learn medical coding, billing rules, and insurance requirements quickly.We'll teach you what you need to know.WHAT WE OFFER1.Unparalleled Growth OpportunityGround-floor opportunity in a stealth-mode company with massive market potentialDirect impact on product direction and technical architecture decisionsOpportunity to build and lead a team as we scale2.Professional ExcellenceWork alongside world-class engineers and healthcare industry veteransAccess to cutting-edge LLM technologies solving complex, real-world problemsOpportunity to influence architectural decisions as we scale our AI infrastructureCompetitive compensation package with significant equity upside3.Work-Life IntegrationFully remote position with flexible hours accommodating Brazil time zonesFast-paced environment where you'll learn constantly and be challenged dailyOpportunity to work with prestigious American healthcare clientsMeaningful work that directly improves healthcare outcomes and provider sustainabilityREADY FOR THE CHALLENGE?If you're a principal-level engineer who loves production AI systems, thrives on continuous improvement, obsesses over getting details right, and wants to make a real impact in healthcare, this role offers the perfect combination of technical challenge, business impact, and startup energy.Apply now and help us transform healthcare revenue management through the power of data and AI.