At a Glance
- Tasks: Refine and optimise outputs of existing LLMs with a team of top engineers.
- Company: Join a leading tech company at the forefront of AI innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Be part of groundbreaking projects that shape the future of AI technology.
- Qualifications: Full-stack engineering skills in Python and experience with Applied LLMs.
- Other info: No need for an updated CV; just hit 'Easy Apply' to get started!
The predicted salary is between 72000 - 84000 £ per year.
We’re looking for Engineers to refine and optimise the outputs of existing LLMs.
In this role, you’ll work alongside world-class engineers from some of the world’s top tech companies.
Want to join them?
You’ll need:
- Full-stack engineers skilled in Python
- Experience with Applied LLMs
- Experience with LLM APIs
Don\’t worry if you don\’t have an up-to-date CV. Just hit the \’East Apply\’ button for now, and I will reach out with more details.
Job Details
- Seniority level: Director
- Employment type: Full-time
- Job function: Information Technology
- Industries: Software Development
This range is provided by Tact. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Tech Lead (AI) – £120k – London (Hybrid)
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Tech Lead (AI) employer: Tact
Contact Detail:
Tact Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Tech Lead (AI)
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with LLMs. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! If you’ve worked on projects involving Python or LLMs, make sure to discuss them during interviews. Real-world examples can really impress hiring managers.
✨Tip Number 3
Don’t stress about that CV! Just hit the 'Easy Apply' button on our website and let us know what you’re all about. We’re keen to hear from talented folks like you!
✨Tip Number 4
Prepare for technical interviews by brushing up on your knowledge of LLM APIs. Practise coding challenges and be ready to demonstrate your problem-solving skills. Confidence is key!
We think you need these skills to ace Tech Lead (AI)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your full-stack engineering skills, especially in Python. We want to see how your experience with Applied LLMs and LLM APIs can contribute to our team.
Be Yourself: Don’t stress about having a perfect CV. Just be genuine in your application. We’re looking for real people with real skills, so let your personality shine through!
Tailor Your Application: Take a moment to customise your application for the Tech Lead (AI) role. Mention specific projects or experiences that relate to refining and optimising LLM outputs. It’ll make you stand out!
Hit That 'Easy Apply' Button: If you’re keen on joining us, just click the 'Easy Apply' button on our website. We’ll reach out to you with more details, so don’t hesitate to take that first step!
How to prepare for a job interview at Tact
✨Know Your LLMs
Make sure you brush up on your knowledge of large language models (LLMs) before the interview. Be ready to discuss how you've refined and optimised outputs in the past, as well as any specific projects where you've applied LLMs.
✨Showcase Your Full-Stack Skills
As a full-stack engineer, it's crucial to demonstrate your proficiency in Python and other relevant technologies. Prepare examples of your work that highlight your ability to handle both front-end and back-end tasks effectively.
✨Familiarise Yourself with APIs
Since experience with LLM APIs is a must, make sure you can talk about your previous work with APIs in detail. Be prepared to explain how you've integrated them into your projects and any challenges you faced along the way.
✨Engage with the Interviewers
Remember, interviews are a two-way street! Prepare thoughtful questions about the team and projects you'll be working on. This shows your genuine interest in the role and helps you assess if it's the right fit for you.