Tech Lead

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 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.

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, and cloud-native microservices (Azure).
• Integrate AI models, retrieval workflows, and multi-agent systems into production applications.
• Work with Python, OpenAI, LangChain, LlamaIndex, vector databases, and agent toolchains.

Engineer With Excellence

• Write high-performance, production-grade code (C#/.NET as primary).
• Use Python for AI workflows, automation, and data integrations.
• 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, IaC, and Kubernetes deployments on Azure.
• Ensure systems are scalable, fault-tolerant, secure, and well-instrumented.

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.

Requirements

Qualifications

Required

• 12+ years of professional engineering experience, with a deep record of building production systems.
• Expert-level proficiency in C#/.NET.
• Strong experience designing and scaling cloud-native distributed systems (preferably Azure).
• Expertise in microservices, caching, API design, multithreading, and performance optimization.
• Real-world experience with AI toolchains, including:
  • LLMs (OpenAI, Anthropic, etc.)
  • Agents & tools
  • Retrieval pipelines & vector databases
  • LangChain / LlamaIndex or equivalent
• Strong SQL and NoSQL experience.
• Hands-on experience with Docker, Kubernetes, CI/CD.
• Ability to lead technical direction while being highly hands-on (IC-first).
• Experience working in fast-paced, high-ownership startup environments.

Huge Plus

• Python for AI pipelines, data processing, and automation.
• Experience in regulated or high-compliance environments.
• Experience building 0→1 products, especially in multi-product or venture studio settings.
• Experience designing internal platforms or multi-tenant systems.

Benefits

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