Lead Developer (AI-First & Agentic Orchestration)

We're seeking a Lead Developer (AI-First & Agentic Orchestration) for our high-growth, AI-native SaaS startup revolutionizing Long-Term Care (senior homes, assisted living, and specialty care providers). This is a remote, hands-on leadership role where you'll architect, build, and scale an intelligent, multi-tenant platform on Google Cloud — while pioneering agentic AI workflows that push toward autonomous "dark factory" development.

About Us

We're an early-stage, AI-first company targeting the massive, underserved Long-Term Care market. Our platform uses leading AI providers and cloud-native architecture to automate complex workflows, enhance care coordination, reduce administrative burdens, and deliver real human impact. We're deliberate builders in a space ripe for disruption through intelligent, agent-driven systems.

This isn't traditional engineering — we're shifting from hand-coding to spec-driven agent orchestration, where humans define high-level intent and AI agents handle implementation, iteration, testing, and convergence at scale.

Role Overview

Hands-on technical leader reporting to the CIO. You'll:

• Own end-to-end architecture with heavy emphasis on agentic orchestration and autonomous development patterns.
• Write and review specs (not just code) to drive AI agents.
• Lead a small, elite engineering team evolving into AI orchestrators rather than traditional coders.
• Integrate frontier AI capabilities pragmatically while maintaining healthcare-grade security, compliance, and reliability.

Key Responsibilities

• Agentic Architecture & Platform Design
• Architect scalable, secure, multi-tenant SaaS on Google Cloud with agent-native patterns.
• Design systems optimized for AI agent orchestration (e.g., non-interactive loops, scenario-based validation, digital twins for safe testing).
• Evaluate and integrate multiple leading AI providers (LLMs, coding agents) into production workflows.
• Build toward spec-only repositories and autonomous convergence (inspired by frontier approaches like StrongDM's Software Factory / Attractor).
• Hands-On Agentic Development & Orchestration
• Daily contribution across:
• Frontend (ReactJS / Next.js) — with AI-generated components where appropriate.
• Backend (Node.js or similar) — increasingly via agent-generated code.
• Cloud orchestration and service integration.
• Lead by example in spec writing, prompt engineering, and agent loop design (e.g., using frameworks like LangGraph, CrewAI, AutoGen, or custom Attractor-style agents).
• Orchestrate agent swarms for feature development, refactoring, testing, and optimization — minimizing human code touches.
• Debug, tune, and scale agent performance (including high-volume token usage for reliable convergence).
• Team Leadership & Cultural Shift
• Mentor engineers transitioning to AI orchestration roles (focus on specification quality, evaluation, judgment over implementation).
• Establish best practices for agentic workflows: scenario suites, digital twin simulations, probabilistic validation over traditional unit tests.
• Plan/prioritize work aligned with milestones; balance rapid innovation with disciplined execution.
• Foster high-ownership culture in a fast-evolving startup.
• CI/CD, Quality & Autonomy Engineering
• Evolve CI/CD pipelines to support massive AI-generated code volume and agent-driven releases.
• Implement automated testing strategies (E2E scenarios, behavioral holdouts, digital twins) suitable for agentic systems.
• Establish quality gates, release processes, and monitoring for healthcare-adjacent reliability (HIPAA, PHI handling).
• AI Innovation & Responsible Scaling
• Pragmatically integrate emerging agentic capabilities into care workflows.
• Promote data governance, model reliability, and ethical AI in sensitive healthcare contexts.
• Experiment with high-scale agent runs (targeting meaningful daily token budgets to unlock frontier productivity).

What We're Looking For

• 7+ years professional software engineering experience.
• 3+ years in technical lead/architecture or engineering management roles.
• Proven track record launching/scaling SaaS products (multi-tenant, cloud-native preferred — Google Cloud a plus).
• Strong comfort in early-stage startups with evolving clarity.
• Deep interest/experience in agentic AI: Familiarity with multi-agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen), non-interactive coding agents, scenario-driven validation, or dark-factory patterns.
• Experience integrating LLMs/coding agents into production (bonus: high-volume agent loops or token-scale thinking).
• Solid cloud architecture, DevSecOps, and performance/cost optimization skills.
• HIPAA/FHIR/HL7 familiarity or willingness to master healthcare compliance quickly.
• Strong UI/UX sensibility, systems thinking, and clear communication.
• High ownership; passion for using AI to transform healthcare outcomes.

Why This Role Matters

Long-Term Care faces chronic staffing shortages, regulatory complexity, and rising demands — AI agents can unlock unprecedented efficiency and care quality. You'll build the technical foundation for an AI-orchestrated future, where engineers orchestrate agents rather than write every line. This is a build-and-scale opportunity with outsized impact in an underserved sector.

What Success Looks Like

• A stable, scalable SaaS platform increasingly powered by autonomous agent factories.
• CI/CD and validation pipelines tuned for agent-generated code at volume.
• A high-performing team of AI orchestrators delivering predictable, high-value features.
• Measurable AI-driven improvements in care provider efficiency and outcomes.
• Alignment with business milestones through agentic velocity.

If you're excited to lead the shift to agentic orchestration in healthcare SaaS — defining specs, scaling agents, and building toward dark-factory autonomy — we'd love to talk.

Apply with your resume, LinkedIn, and a brief note on your experience with agentic AI or autonomous coding workflows.

Remote (U.S. preferred). Range in posting was required - salary will be based on experience

Pay: $120,000.00 - $1,750,000.00 per year

Benefits:

• Employee discount
• Health insurance
• Health savings account
• Paid time off

Work Location: Remote