Senior AI Product Specialist
7 days ago
Unlock Business Potential with Cutting-Edge AI Solutions
We're seeking an experienced Senior Founding Engineer - AI to join our dynamic team at Glacis, where you'll play a pivotal role in shaping the future of supply chain management.
Your primary responsibilities will include developing, deploying, and refining AI and ML solutions tailored for supply chain workflows. You'll collaborate closely with the founding team to drive innovation and strategic growth, leveraging your technical expertise to ensure high-quality performance and scalability.
Key Accountabilities:
- Develop AI Solutions: Design, build, and deploy AI and ML solutions that address the unique needs of supply chain stakeholders, with a focus on quality, reliability, and efficiency.
- Enhance Backend Infrastructure: Strengthen our Python-based backend using Django, Redis, and PostgreSQL, ensuring seamless integration with AI solutions.
- Data Integration: Consolidate diverse data sources into a unified system, providing actionable insights for informed decision-making and business growth.
- Collaborative Leadership: Contribute to feature definition, roadmap development, and architecture planning with the team, driving strategic growth and innovation.
- Client Engagement: Establish strong relationships with clients, gathering feedback and adapting solutions to meet their evolving needs.
- Strategic Impact: Influence company direction and engineering culture, driving business growth and expansion.
Requirements:
- Software Engineering Expertise: 5+ years of experience in software engineering, with a strong background in AI and ML.
- AI Track Record: Demonstrated ability to develop and launch AI/ML solutions from scratch, with a focus on quality, scalability, and customer impact.
- LLM Experience: 1+ years of experience working with modern LLMs, with a proven ability to integrate these solutions into existing systems.
- Technical Proficiency: Strong foundation in python, with expertise in backend web frameworks like Django.
- Awareness of AI Tech Stack: Familiarity with modern AI deployment and observability solutions, with hands-on experience in deploying and managing these technologies.
- Culture Fit: Entrepreneurial mindset, willingness to work closely with founders, and international exposure are highly valued.
- Personal Qualities: Highly motivated, proactive, and driven individuals who thrive in fast-paced environments.
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