Full-Time

Full-Stack Software Engineer

Posted on 9/22/2023

Lamini AI

Lamini AI

11-50 employees

Custom private language model development platform

AI & Machine Learning

Mid, Senior

Menlo Park, CA, USA

Required Skills
Microsoft Azure
Python
JavaScript
NoSQL
Software Testing
SQL
Java
Docker
TypeScript
AWS
REST APIs
HTML/CSS
Google Cloud Platform
Requirements
  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
  • 5 + years of solid experience as a Full-Stack Software Engineer
  • Prior experience as a founder or founding engineer at a technology startup is highly valued
  • Advanced knowledge of front-end languages including HTML5, CSS, JavaScript, TypeScript
  • Proficient in back-end languages including Java, Python
  • Experience building RESTful APIs and working with microservices architecture
  • Familiarity with database systems like SQL and NoSQL, and proficiency in writing efficient database queries
  • Knowledge of software testing methodologies and familiarity with automated testing frameworks
  • Strong problem-solving and analytical skills
  • Excellent communication and teamwork skills
  • Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and experience with containerization (e.g., Docker) is a plus
Responsibilities
  • Designing and implementing scalable and efficient software solutions for our large language model engine, including front-end and back-end components
  • Collaborating with cross-functional teams of machine learning engineers, system engineers, designers and product managers to understand requirements and translate them into technical specifications
  • Building and maintaining robust APIs and microservices to enable seamless integration of our language model into various applications and platforms
  • Conducting thorough testing and debugging to ensure the reliability and performance of the software components
  • Optimizing software performance and scalability through continuous improvement and refactoring

Lamini's LLM platform allows developers to create customized, private language models using technologies such as fine-tuning, RLHF, retrieval-augmented training, data augmentation, and GPU optimization, providing data privacy, ownership, flexibility, and cost control. The platform leverages the latest generation of models, including those from HuggingFace and OpenAI, to specialize language models based on specific use cases and data constraints.

Company Stage

N/A

Total Funding

N/A

Headquarters

Palo Alto, California

Founded

2022

Growth & Insights
Headcount

6 month growth

8%

1 year growth

116%

2 year growth

116%
INACTIVE