Automat (formerly lasso)
Senior Founding Full-Stack Engineer -️
Automat (formerly lasso), San Francisco, California, United States, 94199
[Full Time] Senior Founding Full-Stack Engineer at Automat (formerly lasso) (United States) | BEAMSTART Jobs
Senior Founding Full-Stack EngineerAutomat (formerly lasso) United States
Date Posted: 23 Aug, 2023
Work Location: San Francisco, United States
Salary Offered: $140000 — $180000 yearly
Job Type: Full Time
Experience Required: 6+ years
Remote Work: No
Stock Options: Yes
Vacancies: 1 available
About Automat:Automat is a generative AI software company focused on creating cutting-edge workflow automation. Specifically, we do Robotic Process Automation (RPA) solutions using GPT-4 and computer vision. Our intelligent bots run in the cloud and parse the software they’re on to take action.
We are seeking a Founding engineer to join our team - someone who’s excited to have founder-level input into the engineering of the company. We have two major areas of development - implementing automations for customers, and creating our internal automation builder tool.
Responsibilities:
Implement customer solutions
Build out core tech & infrastructure
Requirements:
Bachelor's degree in Computer Science, or equivalent practical experience.
5-7 years of expertise with coding or machine learning.
Experience prototyping with an iterative design methodology.
Experience in multiple languages (e.g. Typescript, HTML5, Python, C++, NodeJS).
A strong point of view when it comes to system architecture and the web design of our automation platform.
Experience executing and guiding nimble engineering teams to quickly implement your architecture ideas.
The ability to take a project from idea, to prototype, and then to production.
Preferred Qualifications:
Industry standard UX / UI best practices.
Knowledge of Google Cloud.
Experience in creating effective UX for apps built with generative AI, including:
Creating the correct prompts.
Using retrieval augmentation where necessary.
Leveraging multi-step prompts and iterative refinement on prompts.
An eye on where tooling is going and where we can improve.
An interest in hacking, experimental UI, and generally building things that haven't been done before leveraging generative AI.
Ability to take initiative with a concentration in new tech, be it open source or created internally.
About the Job:We are building a general automation platform that leverages the power of generative AI to make it cheaper, faster to set up, and more scalable than ever before. Come help lead our software team, building novel automations and a unified architecture as we scale from the seed stage to series A and beyond.
We work largely on the web, and your familiarity with web technologies is a given. Standing up an API server and deploying it is something you could do in your sleep, and you haven't been conscious while writing a POST request since 2019.
We often have to go from an idea from ourselves or our customers to a working feature within days or weeks. You are someone who welcomes new challenges and can figure out where to best apply existing technology and how we can hack our way to a working prototype quickly. From there, we need to be able to take those prototypes to production with diligence and speed.
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Senior Founding Full-Stack EngineerAutomat (formerly lasso) United States
Date Posted: 23 Aug, 2023
Work Location: San Francisco, United States
Salary Offered: $140000 — $180000 yearly
Job Type: Full Time
Experience Required: 6+ years
Remote Work: No
Stock Options: Yes
Vacancies: 1 available
About Automat:Automat is a generative AI software company focused on creating cutting-edge workflow automation. Specifically, we do Robotic Process Automation (RPA) solutions using GPT-4 and computer vision. Our intelligent bots run in the cloud and parse the software they’re on to take action.
We are seeking a Founding engineer to join our team - someone who’s excited to have founder-level input into the engineering of the company. We have two major areas of development - implementing automations for customers, and creating our internal automation builder tool.
Responsibilities:
Implement customer solutions
Build out core tech & infrastructure
Requirements:
Bachelor's degree in Computer Science, or equivalent practical experience.
5-7 years of expertise with coding or machine learning.
Experience prototyping with an iterative design methodology.
Experience in multiple languages (e.g. Typescript, HTML5, Python, C++, NodeJS).
A strong point of view when it comes to system architecture and the web design of our automation platform.
Experience executing and guiding nimble engineering teams to quickly implement your architecture ideas.
The ability to take a project from idea, to prototype, and then to production.
Preferred Qualifications:
Industry standard UX / UI best practices.
Knowledge of Google Cloud.
Experience in creating effective UX for apps built with generative AI, including:
Creating the correct prompts.
Using retrieval augmentation where necessary.
Leveraging multi-step prompts and iterative refinement on prompts.
An eye on where tooling is going and where we can improve.
An interest in hacking, experimental UI, and generally building things that haven't been done before leveraging generative AI.
Ability to take initiative with a concentration in new tech, be it open source or created internally.
About the Job:We are building a general automation platform that leverages the power of generative AI to make it cheaper, faster to set up, and more scalable than ever before. Come help lead our software team, building novel automations and a unified architecture as we scale from the seed stage to series A and beyond.
We work largely on the web, and your familiarity with web technologies is a given. Standing up an API server and deploying it is something you could do in your sleep, and you haven't been conscious while writing a POST request since 2019.
We often have to go from an idea from ourselves or our customers to a working feature within days or weeks. You are someone who welcomes new challenges and can figure out where to best apply existing technology and how we can hack our way to a working prototype quickly. From there, we need to be able to take those prototypes to production with diligence and speed.
#J-18808-Ljbffr