Lead Software Engineer – AI Focused
at LunaJoy Health — AI-powered scalable infrastructure + mental health services, starting…
What the role involves
JobJob Title: Lead Software Engineer - AI Focused
Department: Product/IT
Reports to: COO
Location: Remote
About Luna Joy
Luna Joy is a leading provider of mental health services, specializing in supporting women through their mental wellness journey. We offer holistic therapy and medication management to help women overcome challenges like postpartum mental health issues. Our dedicated team of professionals works in a collaborative, flexible, and remote environment, ensuring comprehensive care for our clients. We are rapidly expanding and committed to improving access to quality mental health services across the U.S.
Job Overview
We are rebuilding how engineering happens at LunaJoy. Modern AI coding tools, Claude Code, Cursor, and Codex, can now write the majority of production code under human direction. The bottleneck has moved from typing code to scoping problems tightly enough that a fleet of AI agents can execute them without producing pull requests that miss the point. High-impact engineering today isn’t just fast coding; it's about strong systems thinking, sharp specs, and disciplined reviews.
This role is the senior-most engineer at LunaJoy. You will own the technical function - engineering and AI infrastructure. You will set our technical direction, scope work for fleets of AI agents, and own the migration of our codebase to be AI-native and AI-readable end-to-end. Within 3 months, you will be running the engineering function autonomously.
This is not a standard coding role. It is a leadership and orchestration role for someone who has been an engineer their whole career, knows how to ship, and now wants to operate at a higher level of leverage.
Key Responsibilities
Lead the architecture, design, and implementation of scalable software systems with embedded AI components.
AI infrastructure and agent orchestration. Claude Code workflows, n8n automation flows, agent feedback loops, and the self-improvement infrastructure that makes our agents better over time.
The codebase migration to an AI-readable structure. CLAUDE.md hierarchy, file-header docstrings, characterization tests on legacy modules, and strangler-fig migrations of high-risk areas.
Specification and review quality. You write the specs that fleets of agents execute against. You are the final review gate for production-bound code.
HIPAA-adjacent technical decisions. This role touches PHI. You own the discipline that keeps us compliant and our patients safe.
Work closely with data scientists and product managers to translate business needs into technical solutions using ML/AI models.
Mentor and guide engineers through code reviews, technical discussions, and career development.
Ensure best practices in software development, including testing, monitoring, and documentation.
Help manage infrastructure for AI model training, deployment, and monitoring.
Requirements
Systems thinking. You hold entire systems in your head, data flows, failure modes, dependencies, where complexity hides, and reason about them as a coherent whole. You catalog information so that AI agents can use it effectively. Without this, every other AI fluency on this list is wasted.
Specification precision and phased decomposition. You can take a fuzzy product request and produce a specification tight enough that an AI agent can execute it without supervision, with acceptance criteria expressed as tests rather than English. You can also take a 12-month vision and break it into strategic phases, sub-phases, and individual PRs, each independently shippable.
Engineering taste and the bug-sniffing sixth sense. You can look at an AI-produced diff and reliably identify the things that look right but are wrong. This is pattern recognition built up over years of finding bugs in real systems; it cannot be taught quickly, and it is the single most important defense against AI-induced production incidents.
Written precision under ambiguity. Most of your day will be spent producing written deliverables,
About LunaJoy Health
LunaJoy is building the AI-powered care platform for precision mental health—starting with women. We integrate intelligent automation with specialized clinical services to deliver scalable, life-stage-specific care—from adolescence to pregnancy, postpartum, infertility, miscarriage, perimenopause, and aging. By embedding AI agents into care navigation, triage, and decision support, we reduce costs, accelerate outcomes, and personalize treatment at scale. Our hybrid care model blends targeted psychotherapy, psychiatric medication management, genetic testing, coaching, and holistic wellness—delivered by a curated workforce of women’s mental health specialists. Through continuous feedback loops, AI segmentation, and predictive insights, LunaJoy is built to scale. We’re expanding our in-network footprint to make this care accessible across commercial and Medicaid populations—closing equity gaps for women of color, LGBTQ+ individuals, and those most at risk. Women are twice as likely to experience mental health conditions, and 3x more likely to endure trauma. Yet the system is still built for the “average” patient—ignoring the biological, emotional, and social complexity of women’s lives. LunaJoy is rearchitecting that system with AI at its core—because when we invest in women’s mental health, entire communities thrive.
Full LunaJoy Health profile