AI Engineering Manager
doolaFull Time
Junior (1 to 2 years)
Key technologies and capabilities for this role
Common questions about this position
The position offers Employee Stock Option Plans (ESOP) to give ownership in the company’s success, along with performance-based bonuses to reward impact and dedication.
This is an on-site position.
Required technical skills include proficiency in Python, experience with ML frameworks like TensorFlow and PyTorch, strong understanding of AI concepts particularly MLOps, ability to work with LLMs, and experience with cloud platforms like AWS and Google Cloud.
The culture emphasizes building a strong engineering culture, thriving in a start-up and adaptable environment, and shaping the technical future while scaling the platform.
Strong candidates have 5+ years in AI/ML with 2+ years in leadership, experience building and deploying AI Agents, and a full machine learning lifecycle background, plus a passion for AI advancements and ability to manage projects in a fast-paced startup.
Visual collaboration tools for teams
Lucid provides tools for visual collaboration, helping teams brainstorm, diagram, and visualize complex ideas and software. Its main products include Lucidchart, which allows for intelligent diagramming, Lucidspark for virtual brainstorming sessions, and Cloud Insights for visualizing software architecture. These tools are especially beneficial for remote teams, enabling them to collaborate effectively as if they were in the same room. Lucid serves a wide range of clients, including nearly all Fortune 500 companies, and operates on a subscription-based model with various pricing tiers to meet different organizational needs. The company's goal is to simplify complexity, providing teams with the clarity and context necessary to work efficiently.