Gen AI Product Engineer at Lamini AI

Menlo Park, California, United States

Apply Now

$180,000 – $250,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Candidates should possess at least 4 years of experience in application development and relevant software engineering disciplines, with proficiency in Python or Node.js, and experience building application backends with RESTful APIs. Familiarity with React and LLM concepts or AI/ML is preferred, along with experience building applications that leverage LLMs and familiarity with popular LLM frameworks such as Langchain, Llama index, and DSPy.

Responsibilities

The Senior/Staff level full-stack engineer will design and implement features for enterprise customers, including Lamini.AI Classifier and Lamini.AI Inference Playground, leading product feature engineering development leveraging Lamini.AI’s internal inference and tuning infrastructure software, and collaborating with marketing and sales to deploy features. They will also design and implement intuitive and engaging LLM & GenAI interfaces, working with Sales Engineers and Product Designers to refine existing features and develop new ideas to solve customer problems, and collaborate with distributed system software engineers to design and evolve low-level inference & tuning infrastructure.

Skills

Python

Node.js

RESTful APIs

React

LLM

AI/ML

Lamini AI

Generative AI for enterprise software development

About Lamini AI

Lamini AI specializes in developing enterprise software using generative AI and machine learning. The company provides a Large Language Model (LLM) engine that helps businesses automate workflows and enhance productivity. Their product allows engineering teams to create customized AI applications that utilize their own data, making them more effective than general-purpose models. Lamini offers a library and an API that enable software engineers to quickly develop and deploy AI models without the burden of hosting or computational issues. The company generates revenue by providing its LLM engine as a service, allowing clients to train specialized language models on their unique datasets. Lamini's goal is to make generative AI accessible and tailored for businesses, improving their software development processes.

Menlo Park, CaliforniaHeadquarters

2022Year Founded

$24.3MTotal Funding

SERIES_ACompany Stage

Enterprise Software, AI & Machine LearningIndustries

11-50Employees

Risks

Increased competition from AI startups like Proxima could challenge Lamini's market position.

Reliance on AMD hardware poses risks if supply chain issues arise.

Focus on enterprise clients may limit market reach to smaller businesses.

Differentiation

Lamini offers a unique LLM engine for enterprise-specific AI model customization.

The company provides an API for seamless model deployment without hosting concerns.

Lamini's Memory Tuning significantly reduces hallucinations, enhancing LLM reliability.

Upsides

Lamini secured $25M funding for platform enhancement and team expansion.

High-profile investors like Andrew Ng back Lamini, boosting its market credibility.

Lamini's collaboration with AMD enhances model training efficiency with specialized hardware.

Land your dream remote job 3x faster with AI

Try Jobo Free