Department: Technology
Employment Type: Full Time
Location: Chennai, India
Description
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 the idea stage to robust implementation.
- Passion for learning new technologies and continuously improving your skills.
