Job Url: https://jobs.ashbyhq.com/gitty/f3f3f5ab-6966-4c86-86fa-3ff679aebc94

Job Description: 
Founding Software Engineer
Location
San Francisco

Employment Type
Full time

Location Type
Remote

Department
Engineering

Overview
Application
#SWE-GGML

Our client, an innovative platform focusing on training and deploying on-premise Large Language Models (LLMs), recently concluded a funding round led by Nexus Venture Partners. This round saw substantial contributions from prominent entities like Y Combinator and Liquid 2 Venture. Moreover, 8vdx and esteemed angel investors, notably including Garry Tan, President and CEO of Y Combinator, also participated in this funding endeavor. The platform is known for its capability to empower custom LLMs to rival the performance of ChatGPT-4, boasting superior open-source benchmarks that surpass models like Claude 2. Enterprises widely utilize our client's services for pre-training, fine-tuning, and deploying these advanced models directly on their premises.

Mission:

Empowering enterprises with secure, tailored AI solutions while championing data integrity and advancing open-source LLM innovations.

Key Requirements:

Proficiency in Python for back-end development. Knowledge of Django is advantageous.

Mastery in React and Material UI for front-end development.

Hands-on experience in Kubernetes for efficient web application scaling.

Familiarity with AWS, GCP, and Azure cloud platforms.

Responsibilities:

Rapid development, testing, and iteration of multiple MVPs to validate product ideas and achieve product-market fit.

Providing technical direction, making critical decisions on technology choices, and guiding architectural aspects.

Collaborating closely with team members to translate business vision into actionable project plans.

Leading a fast-paced, iterative development process, adapting quickly to feedback and emerging business needs.

Continuous learning and improvement to ensure staying at the forefront of technological advancements.

Benefits:

Significant impact on innovative ML projects reshaping industries.

Growth opportunities in a dynamic and forward-thinking environment.

Recognition as a core member of high-profile projects.

Encouraged innovation within a culture fostering continuous improvement.

Autonomy and ownership over technical directions in a stimulating work environment.

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