Tech Lead (AI + Full Stack) - Hands-On Builder

Full Description

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 operatewith 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.

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 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.