IMMO is seeking a Full Stack Engineer with a deep passion for the emerging field of Large
Language Models (LLM) and its practical applications. The ideal candidate is a
forward-thinker who's eager to drive innovation within the property technology (proptech)
sector, and has hands-on experience with popular open-source LLM libraries such as
LangChain and LlamaIndex.
In this role, you will contribute to the development and implementation of LLM
applications, enabling IMMO to provide innovative and socially-responsible solutions in
the residential ecosystem. You will also play a key role in integrating LLM models into our
technology stack, using the very latest advances in AI technology not for show, but to
solve real-world problems at scale.
As a part of our core engineering team, your work will directly influence the growth and
success of IMMO, and you'll become the go-to expert in LLM technologies.
You Will :
● Join an enthusiastic team of engineers working on IMMO’s core engineering
products, playing a major part in the company’s growth
● Lead the development and implementation of LLM applications and features within
the IMMO ecosystem
● Drive innovation by leveraging LLMs through popular open-source libraries like
LangChain and LlamaIndex
● Collaborate cross-functionally with different teams within IMMO, to ensure
seamless integration and implementation of LLM applications
● Develop and manage well-functioning knowledge retrieval database structures
● Create and maintain web services and tools, building the LLM features that will
allow IMMO’s Acquire, Live, and Invest products to scale
● Take ownership of problems and their solutions, delivering business value end to
end across our technology stack
● Work in a cross-functional team to own and iterate upon products
You Have :
● Extensive background as a Full Stack Software Engineer, with recent experience of
leveraging LLMs in application development.
● Proficiency in Python and Javascript is mandatory.
● Hands-on experience with popular open-source LLM libraries such as LangChain
or LlamaIndex.
● Experience with LLM models such as OpenAI GPT-4, Anthropic Claude or open
source alternatives is highly desirable.
● Familiarity with vector databases such as Pinecone, Chroma, or Weaviate.
● Solid understanding of the principles of Machine Learning.
● Ability to work in a fast-paced environment and deliver on tight deadlines.
● Proven track record of taking projects from idea stage to robust implementation.
● Passion for learning new technologies and continuously improving your skills.
Tools you will use
● OpenAI GPT-4 via APIs or open-source alternatives
● Open-source LLM libraries such as LangChain or LlamaIndex
● Vector databases such as Pinecone, Chroma, or Weaviate
● AWS
● Python
● Node.js / Typescript
● ReactJS and React Native
● Terraform
● Docker
● GitHub
● Apache Kafka
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