- Company Name
- Leonar
- Job Title
- CTO / Tech founder
- Job Description
-
Job title
CTO / Tech Founder
Role Summary
Founding technical leader for a revolutionary AI‑driven consumer insights platform. Own end‑to‑end design and delivery of multimodal data pipelines, LLM‑based synthesis, dynamic scoring & clustering, scalable infrastructure, and custom visual interfaces. Shape product vision, architecture, and engineering standards in a high‑growth startup context.
Expactations
- Deliver a production‑ready system from concept to launch within 12‑18 months.
- Set technical vision, architecture, and road‑map aligned with business strategy.
- Build and mentor a small but high‑performing engineering team.
- Maintain technical excellence, scalability, security, and regulatory compliance.
- Foster cross‑functional collaboration with product, design, and business stakeholders.
Key Responsibilities
- Design & implement multimodal data ingestion (video, audio, text) pipelines.
- Develop and fine‑tune LLM engines for structured synthesis and rule‐based insights.
- Build dynamic scoring, clustering, and personalization modules for user responses.
- Architect and deploy scalable cloud infrastructure (k8s, serverless, CI/CD).
- Create custom, high‑impact visual interfaces for internal sharing of insights.
- Define coding standards, API contracts, and performance benchmarks.
- Lead code reviews, testing strategies, and continuous integration.
- Drive product iterations, validating feature impact with real users.
Required Skills
- 5+ years engineering leadership in AI/ML or data‑driven product companies.
- Deep expertise in multimodal data processing (video, audio, NLP).
- Experience with LLMs—fine‑tuning, prompt engineering, filtering, and rule integration.
- Strong background in clustering, scoring, and recommendation algorithms.
- Proficiency in Python, JavaScript/TypeScript, and modern web frameworks (React/Vue).
- Distributed systems, Kubernetes, and cloud platform (AWS/GCP/Azure).
- DevOps: CI/CD pipelines, containerization, infrastructure as code.
- Solid database knowledge (SQL/NoSQL) and data warehousing.
- Excellent architectural design, performance optimization, and security practices.
Required Education & Certifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
- Certifications in cloud platforms (AWS Certified Solutions Architect, GCP Professional Cloud Architect) or ML operations are a plus.