AllCare.ai is hiring a Tech Lead (AI + Full Stack/ Python) - Hands-On Builder

About InVitro Capital InVitro Capital is a U.S.-based venture studio and fund. We build and fund companies from idea to exit, focusing on technology-driven businesses that solve real-world problems. Our portfolio spans healthcare, home services, and sales technology. Our engineering philosophy is simple: small senior teams, extreme ownership, hands-on builders, and AI-native products. We do not bolt AI onto products — we design AI-native systems from day one. We operate with a builder culture where engineers have end-to-end responsibility for launching and scaling AI-powered products across the studio. Role Overview We are looking for an exceptionally strong Tech Lead (AI + Full Stack) who codes every day and leads through architecture, execution, and example. This role is designed for elite senior builders who thrive in zero-to-one environments, enjoy solving complex problems, and can ship production-grade systems quickly. This is a full-stack tech lead role first: you will architect and ship end-to-end product systems (backend + frontend collaboration), and you must also be strong enough in AI/ML to build and productionize AI capabilities inside those systems. You will: - Architect core systems - Build them with your own hands - Integrate AI tooling & agents - Mentor engineers through technical leadership - Drive engineering excellence across multiple ventures This is not a people-management role — it is a high-impact IC leadership role. What You’ll Do Build & Lead With Technical Depth (70–90% hands-on) - Architect, build, and ship backend and full-stack systems end to end. - Lead engineers through code reviews, architecture reviews, and solid technical decision-making. - Own engineering execution across multiple ventures. Design Scalable, AI-Native Architectures - Build modular APIs, distributed systems. - Embed AI capabilities into product systems (LLMs and/or domain AI like NLP/CV) in a way that is secure, observable, reliable, and scalable. - Design and implement retrieval workflows (RAG), evaluation/guardrails, and agent/tool orchestration where they add real product value. - Work with Python, OpenAI, Anthropic, LangGraph, LangChain, LlamaIndex, vector databases, and agent toolchains. Engineer With Excellence - Write high-performance, production-grade code in Python (primary) for backend services and AI/ML systems. - Build and productionize ML/AI components (training/inference pipelines, model serving, and integrations) with strong engineering discipline. - Build systems optimized for reliability, performance, and observability. Full-Stack Ownership - Collaborate with frontend engineers to deliver seamless end-to-end experiences. - Design clean APIs, interfaces, and developer workflows. DevOps + Cloud Execution - Manage CI/CD pipelines and cloud deployments on AWS. - Kubernetes is a strong plus; AWS + Docker + CI/CD and production deployment ownership are required. - Ensure systems are scalable, fault-tolerent, secure, and well-instrumented. - Own production deployments of AI/ML components (model serving, monitoring, and lifecycle workflows) alongside the core application stack. Technical Leadership & Mentorship - Mentor engineers and uplift technical standards across the stack. - Provide architectural direction and guide complex technical initiatives. - Contribute to hiring and shaping engineering culture.