Avatar for braind
we build the future of Enterprise Software

Founding Engineer

  • $1k – $1k • 0.1% – 10.0%
  • |Remote (
    Everywhere
    ) • +5
  • |5 years of exp
  • |Cofounder
Reposted: 1 month ago
Job Location
Remote Work Policy

Onsite or remote

Hires remotely in
Everywhere
Visa Sponsorship

Not Available

Preferred Timezones
Eastern Time, Coordinated Universal Time, Eastern European Time
Collaboration Hours
9:00 AM - 10:00 PM Coordinated Universal Time
RelocationAllowed
Skills
Python
Business Intelligence
Machine Learning
Artificial Intelligence
Amazon Web Services
Full Stack Development
Backend Development
API
Deep Learning
Microsoft Azure
Software Engineering, Machine Learning, Natural Language Processing
Front-End/Full-Stack (UI-AngularJS-JS-NodeJS)
Machine Learning Data Science Python
Full-Stack Web Development (Node/Redux/React)
Machine Learning Algorithms, Deep Learning, Artificial Neural Networks

About the job

We're Looking for a Visionary Founding Engineer to Build and Scale an AI-Powered Enterprise Software Startup!

Job Summary:

As a Founding Engineer you'll be the technical architect and driving force behind our AI and data science initiatives. This isn't just a leadership role; it's a hands-on opportunity to shape our technology stack, build a world-class engineering team, and define the future of our enterprise software solutions. You'll work closely with the CEO, COO and our growing customer base to translate business needs into cutting-edge AI-driven products.

Key Responsibilities:

What You'll Be Doing:
Architecting; Leading Technical Vision: Define, develop, and implement the company's end-to-end technology roadmap and architecture, ensuring scalability, security, and performance for our enterprise software.

Building; Mentoring a High-Performing Tech Team: Recruit, lead, and mentor a team of talented engineers and data scientists, fostering a culture of innovation, collaboration, and technical excellence.

Driving AI; Data Science Innovation (with a focus on Agents): Oversee the entire data lifecycle, from robust data collection and pipeline development to advanced machine learning model design, training, and deployment. This includes hands-on leadership in the design, development, and implementation of sophisticated AI agents and multi-agent systems that drive core product functionalities. Leverage sophisticated analytics and visualization techniques to extract actionable insights.

Hands-On Full-Stack Development & Deployment: Lead in colaboration to design, development, and deployment of core software features and AI models, ensuring robust, production-ready solutions across the entire stack. This will often involve working directly with agent-based systems and encompassing both user interface development and server-side logic.

Product Strategy; Execution: Collaborate intimately with the CEO and other stakeholders on product strategy, contributing actively to ideation, rapid prototyping, and user testing to ensure our solutions meet market demands.

Client Engagement; Technical Partnerships: Act as a key technical liaison for current and prospective clients, understanding their needs, presenting technical solutions, and fostering strong relationships. Identify and evaluate potential technical partnerships.

Staying Ahead of the Curve: Continuously research and integrate emerging technologies, AI/ML advancements, and industry best practices into our product development cycle.

What You'll Bring:

Advanced Technical Degree: A Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or a closely related quantitative field.

Extensive Hands-On Development Expertise: Deep practical experience in software development, with a strong focus on designing, developing, and deploying scalable machine learning models and data-intensive applications in a production environment.

Mastery of AI Agent Systems: Proven proficiency in designing, developing, and implementing multi-agent systems or complex intelligent agents, demonstrating an understanding of their architecture, communication protocols, and deployment challenges.

Technical Leadership; Team Building: Demonstrated success in leading, mentoring, and scaling engineering and data science teams, ideally in a startup or fast-paced environment.

Robust Data Science; ML Engineering Skills: Strong background in data collection methodologies, ETL processes, feature engineering, model selection, hyperparameter tuning, and model deployment/monitoring. Familiarity with MLOps practices is a plus.

API; System Integration Expertise: Extensive experience designing, developing, and integrating with RESTful APIs, microservices, and various third-party systems.

Exceptional Problem-Solving; Analytical Acumen: Ability to dissect complex technical challenges, devise innovative solutions, and make data-driven decisions.

Outstanding Communication Skills: Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences, including potential clients and investors.

Entrepreneurial Drive: A self-starter with a strong bias for action and a can-do attitude, comfortable with ambiguity, and a passionate commitment to building a successful startup. You're adept at working on multiple projects simultaneously and bring positive vibes and enthusiasm to everything you do.

Salary and Benefits:

The co-founder will receive EQUITY compensation 10%, also a salry will be provided after securing funding from investors. The position is full-time and remote-based but will transition to a hybrid model in the near future.

We're not just another startup; we're already working with customers and are poised for significant growth. If you're a seasoned technical leader with a passion for AI, an entrepreneurial spirit, and the drive to build something impactful from the ground up, we want to hear from you.

Please note: This is a founding engineer role in a fast-paced startup environment. It demands significant dedication and commitment, including working outside of traditional hours and potentially on weekends, especially during critical development and deployment phases. If you're seeking a strict 9-to-5 work-life balance, this might not be the right fit for you.

About the company

braind company logo
we build the future of Enterprise Software1-10 Employees
Company Size
1-10
Company Type
SaaS
Company Industries
Artificial Neural Networks
Company Industries
Artificial Intelligence / Machine Learning
Company Industries
B2B · SaaS · Mobile · Artificial Intelligence / Machine Learning
Learn more about braind image

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