Founding Software Engineer
#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.