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Senior Full Stack Software Engineer - RAG

Cohere

Cohere

Software Engineering
London, UK
Posted on Tuesday, September 5, 2023
Who are we?
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is the one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
Why this role?
The Cohere Modelling team is at the forefront of cutting-edge technologies, including Retrieval Augmented Generation (RAG). We are responsible for developing state-of-the-art models that seamlessly combine retrieval-based knowledge and generative text generation. Our innovations in RAG have the potential to revolutionize the way people access and interact with information.
As a Full Stack Software Engineer on our RAG team, you will play a pivotal role in harnessing the power of Retrieval Augmented Generation. Your primary focus will be on frontend development, data engineering, and collaborating closely with our ML teams to support them implement and optimise RAG models. You'll have the unique opportunity to shape the future of information retrieval and content generation through RAG.
Join us and be part of the innovative RAG journey, where you'll contribute to reshaping how knowledge is retrieved, processed, and generated in the realm of natural language understanding and generation.

In this role, you will:

  • Develop annotation interfaces that facilitate effective knowledge retrieval.
  • Optimise data pipelines to support RAG model training and inference.
  • Build essential tools that enhance the RAG workflow.
  • Collaborate seamlessly with cross-functional teams, leveraging the capabilities of RAG in our projects.
  • Have fun and build long lasting friendships!

You may be a good fit for this role, if you have:

  • A degree in Computer Science or a related field.
  • Proficiency in various programming languages.
  • Prior experience with React.
  • Exposure to Large Language Models (LLM) and Natural Language Processing (NLP).
  • Strong problem-solving abilities.
  • Effective communication skills.
  • A collaborative and team-oriented mindset.
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
Our Perks:
🤝 An open and inclusive culture and work environment
🧑‍💻 Work closely with a team on the cutting edge of AI research
🍽 Weekly lunch stipend, in-office lunches & snacks
🦷 Full health and dental benefits, including a separate budget to take care of your mental health
🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
🏙 Remote-flexible, offices in Toronto, Palo Alto, San-Francisco and London and co-working stipend
✈️ 6 weeks of vacation
Note: This post is co-authored by both Cohere humans and Cohere technology.