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FriendliAI

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About

FriendliAI is a platform that offers a suite of tools for building and serving custom generative AI models. It provides dedicated endpoints, containers, and serverless endpoints for deploying and running LLMs and other generative AI models. Key features include fine-tuning capabilities, robust monitoring and debugging tools, model-agnostic function calls, seamless data integration for RAG, and various integrations with other AI tools. The platform prioritizes efficiency and cost-effectiveness, offering competitive pricing and autoscaling to manage resources efficiently. FriendliAI caters to diverse user needs, from small businesses to large enterprises, supporting various model types and offering both cloud-based and on-premise solutions. The company is committed to providing high reliability and security, with guaranteed SLAs and flexible deployment options.

Platform
Web
Task
ai inference

Features

model-agnostic function calls and structured outputs

monitor and debug llm performance

train and fine-tune models

deploy custom models effortlessly

all-in-one platform for ai agents

accelerate generative ai inference

efficient, fast, and reliable generative ai inference solution for production

fine-tune and deploy llms with h100 gpus

Pricing Plans

Basic
$5.60 / per hour

Multi-LoRA deployments

Configurable autoscaling

Fine-tune custom models

Enterprise
$2.90 / custom

Everything in the Basic plan

Monitor endpoints with Metrics & Logs

Custom pricing

Job Opportunities

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FriendliAI

Software engineer - machine learning framework

FriendliAI provides a fast, cost-effective platform for deploying and managing generative AI models, including fine-tuning and monitoring capabilities.

engineeringonsiteSeoul, KRfull-time

Education Requirements:

  • BS (or higher) in Computer Science or a related field

Experience Requirements:

  • 5+ years of experience in production or in high-impact research environments

Other Requirements:

  • Production-level experience in Python and C++

  • Experience developing machine learning frameworks

  • Experience developing GPU kernels

  • Experience working with generative AI models such as large language models and diffusion models

  • Experience developing machine learning compilers

Responsibilities:

  • Developing and optimizing an advanced engine for serving generative AI models, including large language models and diffusion models

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Software engineer - web full stack

FriendliAI provides a fast, cost-effective platform for deploying and managing generative AI models, including fine-tuning and monitoring capabilities.

Education Requirements:

  • Bachelor's degree or higher in Computer Science, or equivalent practical experience

Other Requirements:

  • Work experience with UI/UX design, web frontend development

  • Work experience with JavaScript, TypeScript

  • Experience in frontend development using frameworks (e.g., React, Angular, etc.)

  • Experience with unit tests and E2E tests

  • Experience in complex asynchronous processing

  • Experience with issues and bug tracking systems (e.g., Jira, GitHub, etc.)

  • Experience with complex charts and displaying methods including statistics

  • Development experience using visualization related frameworks

  • Experience in cross-browser support

  • Experience in B2B product development

  • Experience in MLOps related product development

  • Experience in large-scale backend engineering development

  • Experience in developing services utilizing various cloud services

  • Experience in developing frameworks and services related to Auth, Billing, Monitoring

  • Experience in CI / CD

  • Experience in startup experience or competence

Responsibilities:

  • Developing and deploying MLOps web frontend and backend

  • Working closely with AI experts and software engineers to design and implement web-based MLOps tools to support the development, deployment, and monitoring of machine learning models

  • Developing user-friendly web interfaces

  • Integrating with backend APIs and services

  • Ensuring the robustness and scalability of our web platform

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Software engineer - cloud backend

FriendliAI provides a fast, cost-effective platform for deploying and managing generative AI models, including fine-tuning and monitoring capabilities.

Education Requirements:

  • BS (or higher) in Computer Science or a related field

Experience Requirements:

  • 5+ years of production-level experience in Python and C++

Other Requirements:

  • Experience developing large-scale distributed systems

  • Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes

  • Experience working on a PaaS/SaaS platform or with Service-Oriented Architectures

  • Experience with security and systems that handle sensitive data

Responsibilities:

  • Building and operating products and infrastructure for serving generative AI at scale

  • Building scalable and reliable services that run on GPUs across geographic regions and cloud providers

  • Building products that operate on Docker and Kubernetes

  • Building products and infrastructure at the intersection of distributed systems and machine learning

  • Building tools to operate services for reliability and scalability

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