Senior Full Stack Software Engineer - RAG

Key Skills

Analytical and Problem solving, Data pipelines, Effective communication skills, Generative AI, Large Language Models - LLMs, Natural Language Processing (NLP), React.js, Software Development

Job Description

Who are we?

We’re a team of engineers, thinkers, and champions whose aim is to give technology language. Every day our team is breaking new ground, as we build transformational AI technology and products for enterprise and developers that wish to harness the power of Large Language Models.

We're driven by ambition, as we firmly believe that our technology has the potential to revolutionise the way industries engage with natural language. Our strong technical foundation speaks for itself, with our team composed of world-class experts who have collectively accumulated hundreds of thousands of citations in academia.

The Cohere team is a collective of college dropouts, PhDs, alumni of big tech and scrappy start-ups, new grads and career pivots, who believe a diverse team is the key to a safer, more responsible technology. At Cohere, work isn’t the opposite of play, as we build the future of language AI with team members on almost every continent in the world, working from high rises, cabins, tour buses, and dog-friendly offices.

There’s no better time to herald the next step with us as we shape the future of Generative AI.

About the Team

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 revolutionise the way people access and interact with information.

About the Role

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.

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!

Qualifications

To excel in this role, we seek candidates with the following qualifications:

- 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.

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.

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.