Tensorlake is building a distributed data processing platform for developers building Generative AI applications. Our product, Indexify( ), enables building continuously evolving knowledge bases and indexes for Large Language Model applications by allowing structured data or embedding extraction algorithms on any unstructured data.
We are building a server-less product on top of Indexify that allows users to build real time extraction pipelines for unstructured data. The extracted data and indexes would be directly consumed by AI Applications and LLMs to power business and consumer applications.
We are looking for folks who love to work in the intersection of information retrieval, large-scale distributed systems, and artificial intelligence for content understanding. Being able to design and implement robust backends from the ground up, and knowledge of operating infrastructure is a must-have criterion in this role.
Responsibilities
As a founding backend engineer at Tensorlake, you will be involved in designing the serverless platform. You will participate in discussions with our customers to understand requirements around performance, security and operability of the platform.
You will
Design and implement a distributed control plane for operating Indexify on public clouds.
Design and implement workflows for cluster operations and bootstrapping in VPCs.
Focus on long term operability of the system and services
Work closely with the Founder on the company's technical direction and platform.
Work closely with our users to learn the impact of our product and improve their experience.
Basic Qualifications
7+ years of relevant work experience
Experience in building large-scale distributed systems such as databases, cluster schedulers, or any other distributed control planes.
Ph.D. or Bachelor's degree in Math, Computer Science, or other quantitative fields, OR equivalent experience.
Knowledge of systems programming languages such as Rust, Go, C++ or C. We mainly program in Rust.
Designing observable systems that operate at internet scale.
Deep knowledge of operating and using cluster schedulers - Kubernetes, Fargate(AWS), etc.
Preferred Qualifications
Solid fundamentals in algorithms, data structures, and system design
Knowledge of data structures and algorithms for writing blob or semi-structured data storage and query engines.
Even if you only fit some criteria but are generally excited about this space, we encourage you to apply. Please share a relevant project you have built in the past, and a bonus if it's open source!
Benefits
Ability to save in 401(k) plans
Comprehensive Healthcare and Dental Benefits