Onyx

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About
Onyx is an open-source AI platform designed to empower teams to research, create, and automate with Large Language Models (LLMs) by leveraging their unique organizational knowledge. It helps customize AI behavior and knowledge for specific use cases, and enables discovery of insights across over 40 connectors and the internet. Onyx provides reliable responses grounded in team knowledge, utilizing hybrid-search, advanced RAG, contextual retrieval, and LLM-based knowledge graphs for accuracy. The platform is highly customizable, offering flexible configuration for LLM providers, search settings, connected apps, and access controls. It supports deployment on any infrastructure, including self-hosting, ensuring transparency and data control. Onyx aims to make Generative AI accessible to every company, from startups to global enterprises, offering full transparency into its code and infinite extensibility through its modular design and developer APIs.
Platform
Features
• enterprise-grade security
• code interpreter
• comprehensive developer apis
• open source & self-hostable
• deep research & web search
• 40+ app integrations
• custom ai agents & actions
• ai-powered chat and search
Pricing Plans
Business
$16.00 / per user / month• Knowledge Graph
• Standard Answers
• Query History
• Usage Dashboards
• Curator Role
• Configurable Usage Limits
• Extended Developer APIs
• Role-Based Access Control
• White-labelling
• Priority Support
Enterprise
Unknown Price• Custom Integrations
• Early Access to Features
• Custom-Infra Deployments
• Region-Specific Deployments
• Enterprise SLA
Community
Free Plan• Chat/Search UI
• Support for All Major LLMs
• Custom AI Agents
• Actions (MCP / OpenAPI)
• 40+ App Connectors
• Web Search
• Deep Research
• Code Interpreter
• Slack Integration
• Developer APIs
Job Opportunities
Fullstack Engineer
Onyx is an AI platform for work that enables teams to research, create, and automate using LLMs, powered by their unique knowledge base.
Experience Requirements:
Have 1-5 years (or more) of software engineering experience building real-world applications
Know Typescript/React/NextJS, Python, Relational DBs (Postgres)
Enjoy working in a fast moving startup with low amounts of process
Have excellent communication skills, with a strong ability to collaborate with others (both teammates and external customers)
Other Requirements:
Experience with Docker/Kubernetes, cloud technologies (AWS, GCP, Azure), and on-prem/cloud deployments
Experience (or even just interest) in AI (NLP, Deep Learning, GenAI) and information retrieval
Previous founder or early engineer at seed/series-A startup
Responsibilities:
Building a consumer grade UI experience for the GenAI Chat, Enterprise Search, Agents, and Admin features
Extending the backend functionalities and APIs (see below)
Improving the flexibility and quality of the search pipeline, building a semantic understanding of customer organizations, extending the current permission/access controls, and expanding the knowledge curation features
Implementing the latest approaches in NLP research like LLM based Knowledge Graphs, StructRAG, Agent/Deep-Research, etc. to increase the range of questions the system can answer (AI / deep learning experience not required)
Own the entire development cycle of new features, from conception to production
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Machine Learning Engineer
Onyx is an AI platform for work that enables teams to research, create, and automate using LLMs, powered by their unique knowledge base.
Experience Requirements:
Have 3+ years of AI/ML engineering experience building real-world applications
have in-depth experience with PyTorch/Tensorflow, NLP models, and standard ML algorithms
Are up date with new advances such as open source/proprietary LLMs, RAG and agent-frameworks
Strong software engineering background and capable of building backend features with web frameworks, ORMs and relational DBs
Excellent communication skills and ability to collaborate with full stack roles
Other Requirements:
Familiar with the full stack Typescript/React/NextJS, Python, Postgres
Interested in writing technical blogs to establish Onyx is leader in the space
Responsibilities:
Evaluating and implementing LLM based knowledge graphs, advanced RAG approaches (StructRAG, etc.), LLM agents, advances in NLP, multi-modal transformers, advanced information retrieval algorithms
Working on users’ experience with the platform through features like learn from feedback, search personalization, SME suggestion, etc.
Build a semantic and programmatically useful understanding of the organization's priorities, projects, and people as additional signals to the answering capabilities of Onyx
Own the approach from inception to validation to production code
Collaborate with Founders and the Head of AI to shape and influence the direction of the product and contribute to the AI/ML engineering strategy
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Technical Lead, Frontend
Onyx is an AI platform for work that enables teams to research, create, and automate using LLMs, powered by their unique knowledge base.
Benefits:
fully covered health/dental/vision
transportation reimbursement
Free meals
Stocked kitchen with drinks, snacks, matcha and an espresso machine
Monthly company outings (bike rides to Mt. Tamalpais, escape rooms, etc.)
Education Requirements:
Degree in Computer Science or related technical field
Experience Requirements:
4+ years of frontend engineering experience building complex, user-facing applications
Have an incredible bar for yourself and for others. You want your work to be exceptional, and accept nothing less.
In-depth experience with JavaScript, TypeScript, React, NextJS and other modern frontend technologies
Excellent communication skills and ability to collaborate with cross-functional teams
Strong product/design intuition.
Other Requirements:
Familiar with Python, Postgres
Previous founder or early engineer at seed/series-A startup
Responsibilities:
Doing everything frontend for the default open-source chat interface, enterprise search platform, and agent builder.
Collaborating closely with the design team + founders
Setting frontend priorities and best practices
Building an exceptional design / frontend engineering culture
Fostering an open-source community; guiding contributors on adding to the frontend
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