Develops advanced LLM-based knowledge graphs, RAG techniques, agents, and NLP features to enhance Onyx's AI knowledge retrieval platform. Requires 3+ years AI/ML experience with PyTorch/TensorFlow and strong software engineering skills.
150k – 250k/yr
On-site3+ YOEML Engineering
About the role
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
Requirements
3+ years of AI/ML engineering experience building real-world applications
In-depth experience with PyTorch/Tensorflow, NLP models, and standard ML algorithms
Up to 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
Nice-to-haves
Familiar with the full stack Typescript/React/NextJS, Python, Postgres
Interested in writing technical blogs to establish Onyx is leader in the space
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