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Upfeat is focused on one thing - creating solutions to help digital publishers. We create technology that can be used by publishers to augment their existing technology stack, giving them a competitive edge. Our tools center around content analytics, affiliate monetization, and digital publishing.Using our platform and tools, our partners are able to deliver exceptional content that opens up new revenue streams. We work together to make sure that their teams have the digital tools that allow them to maximize the revenue they receive from their content.
Upfeat is an applied AI lab working on helping people with everyday financial needs. We build AI solutions to improve the financial livelihood of people from all walks of life.
Role Description:
As a RAG Software Developer, you'll be designing, building, and maintaining retrieval-augmented generation systems. This includes developing embedding pipelines, implementing vector search solutions, creating custom agents, and integrating with LLM APIs. You'll work on optimizing retrieval accuracy, maintaining knowledge bases, and ensuring the scalability and reliability of our RAG applications.
Required:
Software-related university degree
Several years of software development experience
Experience building RAG applications (professional or projects)
Experience with frameworks like autogen, langchain, smolagents
Currently using AI agents in development workflow
Nice to have:
Experience fine-tuning LLMs
Required profile
Experience
Spoken language(s):
English
Check out the description to know which languages are mandatory.