AI Engineer (LangChain, RAG, & Chroma)

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AI Engineer (LangChain, RAG, & Chroma)

Location: United Kingdom (Remote)

Salary: £600-700 P/D


Title – AI Engineer (LangChain, RAG, Chroma)

Day rate – £600-700/day (outside IR35)

Location – Remote with occasional travel to London or Manchester

Duration – 12-month contract

We have partnered with a fast-growing private investment firm, with offices across Europe and the US, to find an experienced AI Engineer.

Role Summary

As an AI Engineer, you will be playing a pivotal role in their mission to revolutionise travel experiences through AI-driven insights and recommendations. Your role will be key in developing and optimising their AI models and systems, ensuring that they deliver personalised and valuable travel recommendations to their users.


  • Leveraging your LangChain expertise to develop, implement, and optimise natural language processing (NLP) models and algorithms.
  • Working closely with their team to integrate and enhance Retrieval Augmented Generation (RAG) systems for personalised travel recommendations.
  • Using vector stores such as Chroma to organise, manage, and retrieve travel-related data efficiently.
  • Developing and refining AI models to understand user preferences and provide tailored travel suggestions.
  • Working alongside data engineers to integrate and preprocess various data sources, ensuring high-quality inputs for AI models.
  • Optimising AI algorithms for performance, scalability, and real-time responsiveness.
  • Performing rigorous evaluation and testing of AI models, continuously iterating and improving based on user feedback and data analysis.
  • Remaining at the forefront of AI research, exploring emerging techniques and technologies to enhance their AI-driven solutions

Experience required:

  • Extensive experience in AI engineering, with a focus on LangChain, RAG, and vector stores like Chroma.
  • Strong programming skills in languages such as Python and expertise in relevant libraries and frameworks, such as Pandas, Numpy, SciPy, etc.
  • Experience with NLP techniques and technologies, such as sentiment analysis, topic modelling, text classification, etc.
  • Excellent problem-solving abilities and attention to detail.
  • Strong communication and collaboration skills.
  • Bachelor’s or Master’s degree in Computer Science, AI, or a related field.

Desirable experience

  • Knowledge of recommendation systems and personalization algorithms.
  • A passion for travel and a commitment to crafting exceptional travel experiences.

Apply to the Role:

Roles like these are snapped up very quickly, so act now if you do not want to miss out! Reply to this advert or email your CV to vega@weareorbis.com.

Recruiter: Vega Caputo Ortiz


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