Company Overview:
Flow Global Software Technologies, LLC., operating in the Information Technology (IT) sector, is a cutting-edge high-tech enterprise AI company that engages in the design, engineering, marketing, sales, and 5-star support of cloud-based SaaS AI sales platforms, with patent pending artificial intelligence, deep learning, and other proprietary technologies awaiting patent approval. The company's first product, Flow Turbo™, is a future-generation SaaS AI sales prospecting platform that is designed to maximize the productivity day-to-day for B2B sales reps within B2B outbound, inbound, and inside sales organizations. The company also provides world-class award-winning customer support, professional services, and advisory services. The company is headquartered in Austin, Texas and is registered in Delaware.
Compensation: 3% equity (standard 1-year cliff, 4-year vesting)
Time Commitment: Full-Time, 40-50+ hours per week
Location: Remote
Position Overview:
As a Founding Engineer and Full-Time Senior Full-Stack Artificial Intelligence Engineer at Flow, you will be a catalyst responsible for driving and executing the company's overall engineering strategy in alignment with business objectives, and consistently achieving and ensuring high product engineering velocity. This is an equity-only position, 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 transformer-based models for NLP and advanced LLM-based workflows. Your expertise in deep learning frameworks, combined with a strong command of cloud infrastructure, 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 C#, Rust (Tauri), Python, Go, React/Redux/Hooks/Javascript, Django, Django REST Framework, 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 microservices architecture, you’ll design loosely coupled services that allow for scalable, independent development 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:
Please email resumes to services_admin@flowai.tech