Founding Engineer: High-Performing Systems Architecture
Atman Labs, London
About Atman Labs
At Atman Labs we are building software to emulate proactive human expertise. Our unique research lies at the intersection of custom Reinforcement Learning environments, Large Scale Knowledge Representation, and Knowledge Presentation. We are deploying our platform in products across various commercial domains, starting with proactive shopping concierges for e-commerce, and eventually launching products across travel, healthcare, education, and more.
The Next Frontier of Systems Engineering
We are hiring for a member of technical staff responsible for advancing the state of the art in systems engineering as it relates to proactive agent interactions with humans. You will be responsible for building the storage, data, and API infrastructure that allows us to store and retrieve web scale knowledge, as well as the enabling infrastructure for AI subsystems and data services to be deployed and communicate efficiently.
You will own systems that store petabytes of documents, embeddings, and graphs, and run inference and predictions across different services while preserving reliability and maintaining cost efficiency. You will work with our research team to facilitate rapid experimentation across disparate AI systems, creating a platform that supports both customer and internal-facing products.
About You
We are looking for ambitious and independent thinkers who want to contribute to our mission. You should have the following qualities:
- A computer science background and proven experience in building and maintaining large scale distributed systems.
- Experience with Linux kernels and a passion for distributed file systems, databases, and distributed logging.
- Strong software engineering skills in Python and ANSI C, with a focus on cost-saving and smart usage of storage and bandwidth.
- Familiarity with AWS, Azure, and GCP.
- Ability to reason from first principles and critically evaluate existing ideas.
- Strong communication skills, able to present ideas clearly and educate audiences on reinforcement learning applications.
- A positive personality that amplifies the energy of others.
- Deep curiosity about interdisciplinary topics, including knowledge graphs, recommendations, web-scale search, deep learning, and generative AI models.
- Innovative and original thinking, with a desire to contribute meaningfully to the world.
- Willingness to work in person in London; visa sponsorship will be provided.
We’re excited to meet you. If you are too, send a short message with a list of your projects and highlights, as well as a brief paragraph of your life’s story, to
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