Founding Engineer / Principal Full Stack Artificial Intelligence Engineer (Equity Only)

Flow; Austin (TX); Remote; USD 150,000 - 200,000; Full time

Job summary

Flow, a pioneering AI firm in Texas, is seeking a Founding Engineer / Principal Full Stack Artificial Intelligence Engineer focused on high-performance, scalable solutions. This remote position is equity-based, requiring substantial commitment and expertise within the fields of AI and full-stack development. It offers the opportunity to shape transformative AI solutions as part of a dynamic engineering team.

Qualifications

• 8-12+ years of experience in full-stack engineering.
• Deep experience with AI, machine learning frameworks and architectures.
• Strong experience in cloud DevOps practices and multi-cloud infrastructure.

Responsibilities

• Lead systems architecture and product development for AI platforms.
• Implement continuous integration and continuous deployment pipelines.
• Oversee technology stack optimization, ensuring scalability and reliability.

Skills

C++

Python

Rust

Go/Golang

API Development

DevOps

NLP

Docker

Kubernetes

Terraform

Education

Master's degree in Computer Science or Artificial Intelligence

Tools

TensorFlow

PyTorch

Kafka

Job description

Founding Engineer / Principal Full Stack Artificial Intelligence Engineer (Equity Only)

Founding Engineer / Principal Full Stack Artificial Intelligence Engineer (Equity Only)

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• THIS IS AN EQUITY-ONLY BASED POSITION***
  
  

• THIS IS AN EQUITY-ONLY BASED POSITION***
  
  

SENIOR STAFF+ ENGINEER / PRINCIPAL ENGINEER EQUIVALENT

Company Overview

Flow Global Software Technologies, LLC. is a next-generation artificial intelligence and super advanced exotic technologies company operating within the broader Information Technology sector and Software industry. Flow engages in the design, engineering, marketing, sales, and blue chip service of cutting-edge, cloud-based AI sales platforms, Flow Nebula and Flow Turbo, with advanced artificial intelligence, deep learning, data science, data engineering, large-scale data systems, and other proprietary technologies. Flow is exclusively focused on the development, deployment, and commercialization of frontier AI systems spanning cross-domain intelligence, and applied artificial intelligence systems. The company is strategically aligned with the emerging Artificial Intelligence industry, comparable in focus and structure to pioneers like OpenAI, Google Brain, and Meta AI. Flow is purpose-built to lead in the standalone AI infrastructure and model development vertical. The company also provides world-class award-winning customer support, professional services, and advisory services. The company is headquartered in the United States and is registered in Delaware.

The core of Flow’s work is advanced engineering in artificial intelligence, deep learning, and large data systems design. The company focuses in the development of bleeding-edge AI platforms for B2B sales success, with a focus on scalable, high-performance, and secure infrastructure. This includes robust back-end architecture, well-defined microservices patterns, and modern data-driven design principles applied across every engineering layer.

Flow's AI architecture leverages state-of-the-art advancements in deep learning, advanced LLM-based workflows, transformer networks, and techniques in natural language processing and understanding (NLP/NLU). The engineering organization builds on semantic modeling principles, incorporating graph theory, vector databases, and graph databases to create structured, high-context reasoning systems. These components are connected together through clearly defined data flows and schema designs that are enforced through precise database ER modeling.

The engineering organization applies a modular, event-driven approach using Apache Kafka to support a distributed microservices environment. This architecture allows for high-throughput messaging, real-time data handling, and fault-tolerant service interactions. Data propagation and event orchestration are controlled through well-defined Kafka topics and message contracts to ensure consistency across the platform.

In terms of implementation, Flow utilizes a polyglot technology stack. Languages such as Rust, Go/Golang, Python, C++, and C# are selected based on product-specific requirements related to performance, concurrency, and system-level control. FastAPI and gRPC are used for API exposure and inter-service communication, enabling low-latency, high-reliability operations across distributed components.

Security, observability, and reliability are embedded throughout the engineering process. Code is structured for maintainability and correctness, with strong emphasis on static typing, performance profiling, and automated testing pipelines. Proprietary technologies are developed with rigorous documentation, review protocols, and architecture validation processes.

Flow Global Software Technologies, LLC. maintains a focused engineering discipline, and a highly technically intense engineering culture dedicated to advancing artificial intelligence and future-generation AI platforms for B2B sales success without compromise.

Equity Range: Tiered equity structure (Industry standard 1-year cliff, 4-year vesting)

• Founding Engineer #1-2: 5% equity
• Founding Engineer #3–6: 3% equity
  
  

Deferred principal-level salary: $500K+/Yr

Time Commitment: Full-Time, 40-50+ hours per week

Location: Remote

Position Overview

As a Founding Engineer and Principal Full-Stack Artificial Intelligence Engineer at Flow, you will be a catalyst responsible for owning, driving, and executing the company's overall engineering strategy in alignment with product vision and business objectives, and consistently achieving and ensuring high product engineering velocity and live production delivery to customers and users. This is a strictly equity-only position currently, with a compensation of 3% equity, subject to a industry-standard 1-year cliff and 4-year vesting schedule. You will play a critical role in the development, deployment, delivery, and maintenance of scalable and reliable AI solutions, while being a star contributor on high-performing engineering Scrum teams.

A key part of your responsibility will be overseeing the development and optimization of our AI and deep learning architectures, which utilize TensorFlow, PyTorch, and state-of-the-art LLMs and transformer-based models for NLP, semantic search, vector DBs, graph theory, and advanced LLM-based workflows. Your expertise in AI and deep learning architecture, combined with a strong command of cloud-agnostic services, will ensure the flawless deployment of these AI solutions into production environments.

As a systems architect and end-to-end engineer, you will design event-driven (Kafka) and microservices-based architectures that leverage the full power of Rust, Tauri, Go/Golang, gRPC, Python, FastAPI, C++/Qt, C#, Node.js, PostgreSQL, and other full-stack technologies, while ensuring flawless integration with cloud-native tools such as Docker, Kubernetes, Ansible, Terraform, and Chef for Infrastructure as Code (IaC). You will be accountable for implementing fully automated continuous integration (CI) and continuous deployment (CD) pipelines using GitHub Actions, and automated testing suites for QA/automated testing, ensuring that every commit and deployment meets the stringent reliability, scalability, and security standards expected in enterprise-grade AI platforms.

With a focus on DDD, modular, event-driven, serverless, cloud-native, and microservices architecture, you’ll design loosely coupled services that allow for scalable, independent development, testing, and deployment, ensuring modularity and ease of maintenance. Your advanced knowledge of Bash/SSH, shell scripting, Linux administration, networking (TCP/IP/UDP/Ports/SSL/TLS), VPC, and encryption technologies will enable you to fine-tune low-level system configurations for maximum performance and security.

You will also spearhead the QA/Automated Testing and DevOps strategy, implementing Trunk-Based Development and Shift-Left Testing, fully automated CI/CD pipelines using GitHub Actions, and SonarQube, Pytest, and equivalent QA tools for automate testing, build, and deployment workflows. Your experience with Docker, Kubernetes, Ansible, Terraform, Chef, and cloud infrastructure will be critical for deploying AI solutions in a cloud-agnostic environment, ensuring cost-reduction, high uptime, and the ability to scale up.

Key Responsibilities

• Technical Architecture & Product Development: Lead the systems architecture, development, QA/automated testing, DevOps, CICD, staging, and live production deployment of AI platforms, ensuring high scalability and reliability.
• Individual Contributor Excellence: Be a catalyst, and primary technical subject matter expert, driving productive results in product development, ensure high product engineering velocity, and collaborate in optimization efforts while influencing cross-functional engineering Scrum teams through your contributions.
• Technology Stack Optimization: Oversee the development and enhancement of our core technology stack, including frontend, backend systems, APIs, databases, and cloud infrastructure.
• DevOps & CI/CD Implementation: Establish best practices for DevOps, CI/CD, and cloud automation to streamline the development lifecycle, ensuring efficient and error-free deployment processes.
• Cross-functional Collaboration: Collaborate effectively with product management, sales, and marketing teams to drive product innovation, user adoption, and market expansion.
• Emerging Technologies R&D: Stay current with the latest technologies and industry engineering trends, evaluating their potential impact and recommending strategic initiatives to keep Flow at the forefront of the technology industry.
  
  

Qualifications

• Full-Time Commitment:
• Must be able to dedicate 40-50+ hours per week full-time into this position.***
• Educational Background:
• Master’s degree in Computer Science, or Artificial Intelligence.
• Professional Experience:
• 8-12+ years of professional industry experience in full-stack engineering, specifically with C++/Qt, Tauri, Rust, Go/Golang, gRPC, FastAPI, Python, C#, API development, OAuth, and database architecture.
• Deep technical experience with GitOps, Trunk-Based Development, Shift-Left Testing, Test-Driven Development, QA testing methodologies, and SonarQube/Snyk scans.
• Strong experience in C++/Qt, Tauri, Rust, Go/Golang, gRPC, FastAPI, Python, C#, PostgreSQL, NOSQL databases, caching, and advanced system design and architecture.
• Proven experience and architectural decision making ownership with Domain-Driven Design (DDD), modular monolith architecture, event-driven architecture, serverless architecture, cloud-native architecture, and microservices architecture.
• Proven experience in DevOps deployment, including fully automated CI/CD pipelines, cloud infrastructure, GitHub Actions, Docker, Kubernetes, Ansible, Terraform, Chef, Infrastructure as Code (IaC), low-level networking, high-level networking, VPC, subnets, and automation.
• Experience with cloud infrastructure deployments and experience in managing multi-cloud or cloud-agnostic infrastructures for live production environments.
• 8-12+ years of experience with Artificial Intelligence and Deep Learning, including frameworks like TensorFlow, PyTorch, and experience with NLP, LLMs, semantic search, transformer-based models, and neural networks.
• Experience with caching (KeyDB), Bash, SSH, shell scripting, Linux administration, reverse proxies (Nginx), Gunicorn, cybersecurity protocols, networking (TCP/IP), and encryption technologies.
• Leadership Skills:
• Proven track record of successfully implementing and delivering reliable, world-class products in fast-paced Agile/Scrum engineering environments.
• Communication:
• Superb communication and interpersonal skills, with the ability to lead and coordinate between cross-functional Scrum teams effectively.
  

Please email resumes to [e-mail]

• THIS IS AN EQUITY-ONLY BASED POSITION***

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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