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职位Cohere

Forward Deployed Engineer, Agentic Platform (Public Sector)

Cohere

Forward Deployed Engineer, Agentic Platform (Public Sector)

Cohere

Ottawa

·

On-site

·

Full-time

·

1mo ago

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 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’s 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 https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing 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.

WHY THIS ROLE?

Cohere’s team partners with Canadian public sector organisations to unlock transformative value through secure, ethical deployment of Generative AI (GenAI) solutions. We work collaboratively to address complex societal challenges while maintaining the highest standards of data security and compliance. You will work directly with public sector customers to quickly understand their greatest problems and design and implement solutions using Cohere's stack.

This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors.

We are seeking engineers with diverse skill sets, including backend, infrastructure, agent development, and deployments, who deeply care about customers and want to work at the cutting edge of Agentic AI.

Location: Ottawa or Toronto required (proximity to government customers), 20-40% travel anticipated.

Security Clearance: Active Top Secret clearance strongly preferred; candidates eligible and willing to obtain clearance will also be considered.

More information about Canadian Security Clearance can be found here https://www.canada.ca/en/public-services-procurement/services/industrial-security/security-requirements-contracting/personnel-security-screening/processes/security-clearance-request.html.

In this role, you will:

  • Build and ship features for North, our AI workspace platform

  • Develop autonomous agents that talk to sensitive enterprise data

  • Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations

  • Work across the entire product lifecycle from conceptualization through production

  • Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout

You may be a good fit if:

  • You have experience with and enjoy working directly with customers

  • You have shipped (lots of) Python in production

  • You have built and deployed highly performant client-side or server-side RAG/agentic applications

  • You have strong coding abilities and are comfortable working across the stack. You’re able to read and understand, and even fix issues outside of the main code base

  • You excel in fast-paced environments and can execute while priorities and objectives are a moving target

If some of the above doesn’t 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 https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.

Full-Time 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, 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 up to 6 months

🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend

✈️ 6 weeks of vacation (30 working days!)

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关于Cohere

Cohere

Cohere

Series C

Cohere Inc. is an American-Canada-based international technology company focused on artificial intelligence. Cohere specializes in large language models and AI products for regulated industries, particularly the finance, healthcare, manufacturing, and energy fields, as well as the public sector.

201-500

员工数

Toronto

总部位置

$2.2B

企业估值

评价

2.4

3条评价

工作生活平衡

2.0

薪酬

3.0

企业文化

1.5

职业发展

2.5

管理层

1.2

15%

推荐给朋友

优点

Comprehensive and challenging assessment process

Well-known company in the industry

Initially appeared as attractive opportunity

缺点

Unprofessional hiring managers

Toxic work environment

Poor management and leadership

薪资范围

13个数据点

Mid/L4

Mid/L4 · Analytics Engineer

1份报告

$117,173

年薪总额

基本工资

$90,100

股票

-

奖金

-

$117,173

$117,173

面试经验

1次面试

难度

4.0

/ 5

时长

14-28周

体验

正面 0%

中性 0%

负面 100%

面试流程

1

Application Review

2

Take Home Assessment

3

Technical Interview

4

Team Interview

5

Offer

常见问题

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design