Full-Stack Software Engineer
Confirmed live in the last 24 hours
Lamini AI

11-50 employees

Engine for training and optimizing custom AI models
Company Overview
Lamini is a company that provides a secure platform for training custom language models (LLMs), offering clients data privacy, ownership, flexibility, and control over cost and latency. The platform utilizes advanced technologies and research, including fine-tuning, RLHF, retrieval-augmented training, data augmentation, and GPU optimization. Lamini's approach is customer-centric, working with clients to determine the most suitable models for their specific use cases and data constraints.
AI & Machine Learning

Company Stage

Seed

Total Funding

N/A

Founded

2022

Headquarters

Palo Alto, California

Growth & Insights
Headcount

6 month growth

100%

1 year growth

100%

2 year growth

100%
Locations
Palo Alto, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
AWS
Docker
Google Cloud Platform
JavaScript
HTML/CSS
Java
Microsoft Azure
REST APIs
SQL
Python
TypeScript
NoSQL
Software Testing
CategoriesNew
Software Engineering
Requirements
  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
  • 10 + years of solid experience as a Full-Stack Software Engineer, with experiences building a software product from end to end, preferably working on complex web applications or AI-related projects
  • 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, with the ability to tackle complex technical challenges
  • Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams
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
Desired Qualifications
  • Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and experience with containerization (e.g., Docker) is a plus