Tech Lead (AI and Full Stack)

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 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 and agents

• Mentor engineers through technical leadership

• Drive engineering excellence across multiple ventures

This is not a people-management role — it is a high-impact individual contributor 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, infrastructure as code, 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 and tools

• Retrieval pipelines and 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 (individual contributor 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 zero-to-one 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 plus 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