At a Glance
- Tasks: Architect and implement robust integrations for AI models, ensuring seamless performance.
- Company: Join a cutting-edge AI company passionate about shaping the future.
- Benefits: Enjoy competitive salary, health benefits, remote flexibility, and 6 weeks of vacation.
- Why this job: Work on revolutionary AI projects that make a real impact in the tech world.
- Qualifications: Experience with LLMs, strong coding skills, and a customer-focused mindset.
- Other info: Diverse and inclusive culture with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Who are we? Our mission is to scale intelligence to serve humanity. We are training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, 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 is best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is 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!
About North: North is Cohere's cuttingâedge AI workspace platform, designed to revolutionise how enterprises use AI. It offers a secure, customisable environment that enables companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
In This Role, You Will:
- Architect and implement robust integrations for large language models into the North platform, ensuring seamless scalability and performance.
- Collaborate with modelling teams to refine LLM performance, reduce latency, and improve accuracy through iterative testing and tuning.
- Develop and maintain tools for analysing and monitoring model performance, enabling dataâdriven improvements.
- Take endâtoâend ownership of features â from initial design and planning, through implementation, testing, and delivery.
- Collaborate closely across teams, maintaining high standards for communication, documentation, and testing.
You May Be a Good Fit If You:
- Have built, shipped & maintained production systems around LLMs, including integration, prompt management, and performance analysis.
- Experience owning complex features from design to deployment, with a focus on scalability and maintainability.
- Ability to work closely with researchers, engineers, and product teams to translate insights into actionable improvements.
- Have strong coding abilities and are comfortable working across the stack.
- Take a customerâfocused, productâminded approach to building software, prioritising outcomes and impact.
- Thrive in fastâpaced environments and can stay focused as priorities and objectives evolve.
Our Tech Stack: Our stack includes Python, TypeScript with React, Postgres, and is deployed on Kubernetes. We value strong fundamentals and a learning mindset over specific tech experience â if you are excited about AI and love building fast, you will fit right in!
If some of the above doesnât line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
FullâTime Employees At Cohere Enjoy These Perks:
- An open and inclusive culture and work environment.
- Work closely with a team on the cutting edge of AI research.
- Weekly lunch stipend, inâoffice lunches & snacks.
- Full health and dental benefits, including a separate budget to take care of your mental health.
- 100% Parental Leave topâup for up to 6 months.
- Personal enrichment benefits towards arts and culture, fitness and wellâbeing, quality time, and workspace improvement.
- Remoteâflexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a coâworking stipend.
- 6 weeks of vacation (30 working days!).
Seniority level: MidâSenior level
Employment type: Fullâtime
Job function: Engineering and Information Technology
Industries: Software Development
Senior Software Engineer, Model Integration in London employer: Cohere
Contact Detail:
Cohere Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Software Engineer, Model Integration in London
â¨Tip Number 1
Network like a pro! Reach out to current employees at Cohere or in similar roles on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
â¨Tip Number 2
Show off your skills! If you've worked on projects involving LLMs or relevant tech stacks, create a portfolio or GitHub repo showcasing your work. This gives you a chance to demonstrate your coding abilities and problem-solving skills.
â¨Tip Number 3
Prepare for the interview by brushing up on your knowledge of AI and model integration. Be ready to discuss how you've tackled challenges in past projects and how you can contribute to Cohere's mission of scaling intelligence.
â¨Tip Number 4
Don't forget to apply through our website! Itâs the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team and being part of something big!
We think you need these skills to ace Senior Software Engineer, Model Integration in London
Some tips for your application đŤĄ
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI shine through! We love candidates who are genuinely excited about the technology and its potential. Share any personal projects or experiences that highlight your passion.
Tailor Your Application: Make sure to customise your application to fit the role of Senior Software Engineer, Model Integration. Highlight your experience with LLMs and how you've contributed to similar projects in the past. This helps us see how you can add value to our team!
Be Clear and Concise: We appreciate straightforward communication. Keep your application clear and to the point, focusing on your relevant skills and experiences. Avoid jargon unless it's necessary, and make sure we can easily understand your contributions.
Apply Through Our Website: Don't forget to submit your application through our website! Itâs the best way for us to receive your details and ensures youâre considered for the role. Plus, it shows youâre serious about joining our mission!
How to prepare for a job interview at Cohere
â¨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like Python, TypeScript, and Kubernetes. Be ready to discuss your experience with these tools and how you've used them in past projects. This shows youâre not just a fit on paper but also in practice.
â¨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex features from design to deployment. Highlight your approach to scalability and maintainability, as well as any challenges you faced and how you overcame them. This will demonstrate your hands-on experience and critical thinking.
â¨Emphasise Collaboration
Since the role involves working closely with researchers and engineers, be ready to discuss your collaborative experiences. Share stories that illustrate your ability to communicate effectively across teams and how youâve contributed to successful projects through teamwork.
â¨Customer-Centric Mindset
Cohere values a customer-focused approach, so think about how your work has impacted end-users. Prepare to discuss how you prioritise outcomes and impact in your projects, and be ready to suggest ways you could enhance user experience in the North platform.