Full-Time

Senior Engineer

Developer Relations

Confirmed live in the last 24 hours

Rasa

Rasa

51-200 employees

Develops conversational AI software for businesses

Enterprise Software
AI & Machine Learning

Senior

Remote in UK

Candidates must be located in and a resident of the location(s) listed for the application to proceed.

Category
Developer Relations
Required Skills
LLM
Public Speaking
Machine Learning

You match the following Rasa's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • You code at a Senior Engineer level
  • You have a solid understanding of ML fundamentals & would be comfortable explaining ideas like backprop, beam search, attention, DPO, etc.
  • You have strong presentation, public speaking, and technical writing skills.
  • You can build compelling prototypes quickly.
  • You have lots of creative ideas and a good sense of what will resonate with people.
  • You are plugged into social media and know how to build an audience.
  • You are innately curious about how things work.
Responsibilities
  • Building cool things with Rasa and adjacent technologies, sharing the code and producing compelling content around it.
  • ~20% of your time contributing to our core codebase & influencing our product roadmap.
  • Creating benchmarks and demos to illustrate the advantages of Rasa’s CALM approach.
  • Building relationships with adjacent technologies (speech APIs, LLM providers, vector DBs, etc) and co-creating content to broaden our audience.
  • Staying up-to-date with AI/ML social media and contributing to the conversation.
  • Producing educational content.
  • Strengthening our community (on our forum, github, youtube, social media, etc)

Rasa develops software that helps machines understand and respond to human language, focusing on conversational AI. Their main products include Rasa Open Source, which allows developers to create and customize chatbots and virtual assistants, and Rasa X, a paid solution that offers advanced features and support for businesses. Rasa's approach encourages community involvement through its open-source platform, while also providing enterprise services like premium support and training workshops. This combination allows businesses of all sizes, from startups to large enterprises, to automate customer interactions and improve user engagement. Rasa's goal is to empower organizations to enhance their customer service through intelligent automation.

Company Size

51-200

Company Stage

Series C

Total Funding

$68.2M

Headquarters

San Francisco, California

Founded

2016

Simplify Jobs

Simplify's Take

What believers are saying

  • Rasa's recognition by Gartner enhances its credibility in the conversational AI market.
  • The partnership with Izertis expands Rasa's market reach and collaboration opportunities.
  • Recent $30 million funding boosts Rasa's resources for growth and innovation.

What critics are saying

  • Competition from companies like NLX threatens Rasa's market share in conversational AI.
  • Rapid AI advancements pressure Rasa to continuously innovate to stay competitive.
  • Strategic partnerships may lead to dependency or misalignment if not managed well.

What makes Rasa unique

  • Rasa combines pro-code and no-code options for cross-team collaboration in AI development.
  • Rasa's LLM-native dialogue engine offers transparency and reliability for enterprise clients.
  • Rasa provides both open-source and enterprise solutions, fostering a large user community.

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Benefits

Flexible Work Hours

Unlimited Paid Time Off

Paid Sick Leave

Paid Public Holidays

Health Insurance

401(k) Company Match

Equity Options

Professional Development Budget

Home Office Stipend

Paid Vacation

Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

4%

1 year growth

-3%

2 year growth

3%
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