Company Description:
Celestral AI is a B2B SaaS company focused on automating workflows for manufacturers, taking them from idea to finished product faster. Our goal is to empower industries like automotive, defense, electronics, robotics, medical devices, etc. so that they can innovate more and often.
Why join us:
If you want to become part of something that changes the face of hardware innovation come join us. If you want to see futuristic phones, advanced EVs, electric air taxis, fully autonomous robots, smart homes/cities, or anything else that seems like it belongs in a movie, come join us.
Who we are looking for:
We are looking for a highly motivated co-founder/CTO that is willing to bet in themselves and take a leap of faith. The work enviornment will be combination of heads down coding, meaningful connections and quirky pet peeves.
Here are the 4 C's that embody our values:
- Coding: Lead AI and Full-Stack Development by overseeing UI/UX design, AI solution development, and enterprise SaaS deployment, ensuring approval for client-facing applications.
- Collaboration: Work with cross-functional teams to gather requirements, develop project plans, and ensure successful project execution.
- Consistency: Ensure alignment of company goals with tasks and identify roadblocks to ensure consistent progress.
- Current Trends: Stay updated with the latest AI models, trends, and best practices to continuously improve our AI capabilities.
Required Skills & Qualifications (must-haves):
- Education: Bachelor’s in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Experience: 2+ years as an ML Engineer (or similar role) + portfolio of AI and full-stack development projects.
- AI/ML Proficiency: Proficiency or strong desire to learn LLM-based frameworks.
- Programming Skills: Strong programming skills in languages such as Python.
- Full-Stack Development Skills: Proficiency in both front-end and back-end development technologies.
- Data Management: Good understanding of data management and data preprocessing.
- Problem-Solving: Excellent problem-solving skills and the ability to work with autonomy.
- Communication Skills: Ability to present technical concepts to non-technical audiences.
Preferred Skills & Qualifications (nice-to-haves):
- Advanced Degrees: Master’s degree or Ph.D. in a related field is a plus.
- ML Expertise: Hands-on experience with natural language processing (NLP) and Large Language Models (LLM).
- Additional Knowledge: Familiarity with hardware development processes or mechanical engineering concepts.
