FAQs
What is the main responsibility of the AI Engineer role at Siena?
The main responsibility of the AI Engineer role is to use the power of Large Language Models (LLMs) and other AI technologies to elevate the capabilities of Siena AI's products, including leading the development of new AI features and successfully integrating new technologies into the core product.
What qualifications are required for the AI Engineer position?
The position requires substantial experience (3+ years) in building AI products using LLMs, embeddings, or other ML natural language technologies, along with strong problem-solving skills, empathetic leadership, and user-centric project prioritization.
Does Siena offer flexible working conditions?
Yes, Siena offers flexible working conditions, allowing employees to work from home, a coffee shop, or other places as long as they are productive.
What technologies should a candidate be familiar with for this role?
While not mandatory, familiarity with Siena's tech stack, which includes React, TypeScript, Node.js, and Postgres, as well as experience with data pipeline technologies like Spark and DBT, are considered nice to have.
How does Siena support employee development and learning?
Siena provides a learning budget to encourage employee growth and supports exploration and integration of AI tools within workflows to maximize efficiency and innovation.
What kind of work environment can one expect at Siena?
Siena offers a startup environment that emphasizes impactful work, where every perspective counts, and values creativity, ownership, and open communication without corporate jargon.
Are there opportunities for equity or stock grants at Siena?
Yes, Siena offers competitive compensation packages that include the opportunity for equity or stock grants.
Does Siena value diversity in its workforce?
Yes, Siena is committed to a diverse and inclusive workforce, welcoming individuals from all backgrounds, experiences, perspectives, and abilities.