Job Description
Job Description
We're assisting a well-funded, two-year-old startup with their search for founding engineers. Their product allows anyone to create the perfect AI Assistant for their work with security, permissions, and compliance built in.
The role will work onsite in their Brooklyn office.
What you'll do :
Working with AI / LLMs : Improving the performance of the Retrieval Augmented Generation platform by experimenting with foundational LLMs and novel search techniques.
Help define industry standards for how to leverage generative AI in enterprise settings.
Enhancing developer-focused APIs : improving and expanding the functionality of APIs to make them more user-friendly and efficient for developers.
This includes optimizing performance, adding new features, and ensuring seamless integration into existing customer workflows.
- Making improvements to the frontend : Refining the visual design, optimizing the performance, and implementing new features in the platform’s frontend to make it more intuitive and engaging for users.
- Working on the data platform : Making improvements to the data platform to ingest, transform, and embed customer data for use in generative AI applications.
Optimizing the data infrastructure’s performance and scalability to ensure reliable and timely data integration.
What you'll bring :
- 0 - 5 years of experience as a software engineer, ideally in a full stack role, at a top tier company
- At least one full time role (or internship for new grads) at a top tier startup or larger company, where you've done meaningful work.
- Experience in a high-growth, fast-paced environment with a high technical bar; has taken full ownership of projects from start to finish.
Ambition - they’re working on an incredibly hard problem and are looking for people who are energized by challenges.
A customer-focused approach - care about addressing the challenges their customers encounter, using their feedback to continuously shape the product.
Nice to haves :
Data infrastructure - using tools like dbt, Airflow, Dagster, Snowflake, etc.
AI / ML especially in generative AI / LLMs.
CloudOps / DevOps - using tools like Terraform, Kubernetes, etc.
- Startup experience, founding team experience a big plus
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