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, Open AI, Anthropic, Lang Graph, Lang Chain, Llama Index, 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.
Dev Ops + 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-tolerant, 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.
Qualifications
Required:Professional Engineering Experience — 12+ years building and shipping production-grade systems. Python Expertise (Fast API or similar, production) — async services, Pydantic models, you write Python daily. Backend/System Architecture Ownership — you've owned system design decisions, led code reviews, mentored engineers, and shipped end-to-end systems as a senior IC or tech lead. Core ML / Deep Learning (hands-on) — built ML/DL systems using PyTorch or Tensor Flow; understand training, evaluation, optimization. Production ML Deployment / MLOps — deployed ML systems to production; owned monitoring, versioning, rollback strategies, lifecycle management. Applied AI Systems Experience — shipped AI-powered features using LLMs and/or applied NLP/CV in real products (not experimentation only). Postgre SQL — schema design, query optimization, migrations. Cloud + Delivery — AWS + Docker + CI/CD; production deployments and operational ownership. REST API Design — clean interfaces serving multiple clients (web, mobile, service-to-service). Startup Execution — experience in fast-paced, high-ownership environments.
Strong Plus:Ruby on Rails (production) — built and maintained real Rails APIs with background jobs (e.g., Sidekiq), webhooks, and complex domain logic. Kubernetes (production) — EKS (or equivalent), Kubernetes-based deployments, operational ownership. Gen AI Depth — experience designing RAG systems, prompt strategies, fine-tuning workflows, and evaluation/guardrails. Retrieval & Vector Systems — vector databases (Pinecone, Weaviate, or similar), embedding strategies, namespace/tenancy design, reranking. Agent Orchestration — multi-agent patterns, tool use, chain composition (Crew AI, Lang Graph, or similar). AI Tooling Ecosystem — Lang Chain, Llama Index, Hugging Face, or similar; LLM observability/tracing (Lang Smith or equivalent). Full-Stack Fluency — strong collaboration with frontend teams to ship end-to-end product experiences; clean API contracts. React 19 (Java Script) — Redux Toolkit, RTK Query, Vite, shadcn/ui. Flutter/Dart — mobile app development, BLoC pattern, Clean Architecture. Firebase/Firestore — real-time sync, Cloud Functions. Stripe — payment processing, webhook-driven architecture, Connect. Mongo DB — document modeling; async drivers (Motor) is a plus. Multimodal AI — vision models; real-time audio/video AI (Live Kit, Open AI Realtime API). Redis + Sidekiq — background job processing, caching.0→1 / Venture Studio Experience — building products from scratch in multi-product, high-velocity environments.

What We Offer Compensation: $4,000-$5,000 USD/month base + bonus Health insurance Social insurance Paid Time Off (PTO) High ownership and autonomy Opportunity to build multiple AI-powered products from scratch A culture optimized for speed, impact, and technical excellence
Schedule & Work Setup Cairo-based candidates preferred Hybrid: expected at the Cairo office at least once per week Monday-Friday, aligned with U. S. Pacific Time High-autonomy, high-velocity engineering environment