At a Glance
- Tasks: Teach enterprise teams to build on our platform and develop AI agents.
- Company: Join LangChain, a leader in AI technology and innovation.
- Benefits: Competitive salary, travel opportunities, and a chance to shape the future of AI.
- Other info: Dynamic role with opportunities for professional growth and collaboration.
- Why this job: Make a real impact by enabling businesses to harness the power of AI.
- Qualifications: 2+ years in customer-facing roles and strong Python skills required.
The predicted salary is between 63000 - 77000 £ per year.
Lang Chain is seeking a hands-on Enablement specialist to set the technical foundation for new enterprise customers, teaching teams to build on the platform and advising on agent development and evaluation.
You’ll design live workshops, run advisory sprints, and create scalable enablement assets while partnering with Product and Engineering to voice customer needs.
2+ years in customer-facing roles, 3+ years building LLM/agent apps, strong Python, and willingness to travel up to 20% are required.
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AI Enablement Engineer for Enterprise in London employer: Langchain
At LangChain, we pride ourselves on being an innovative employer that empowers our team members to make a significant impact in the rapidly evolving field of generative AI. Our collaborative work culture fosters creativity and growth, providing ample opportunities for professional development while offering competitive compensation and comprehensive benefits tailored to the Australian market. Join us in shaping the future of intelligent agents and enjoy the unique advantage of working in a dynamic startup environment where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land AI Enablement Engineer for Enterprise in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace AI Enablement Engineer for Enterprise in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Langchain. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Langchain
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
