At a Glance
- Tasks: Lead engaging micro-workshops for software engineers, focusing on GenAI and LLMs.
- Company: Skiller Whale transforms tech learning through expert-led live sessions.
- Benefits: Earn £100 per hour, enjoy flexible remote work, and make a real impact on learners.
- Why this job: Join a fun, dynamic team and help others excel in their software engineering skills.
- Qualifications: Experience in software engineering, mentoring, and knowledge of machine learning concepts required.
- Other info: Sessions are 60-90 minutes long, with preparation time compensated.
Skiller Whale changes what tech teams are capable of through live sessions led by subject-matter experts. Developers attend a 60-90 minute session every week or two, learning something new through challenging exercises with an expert leading the session to explain the topic and answer difficult questions. Learners love us (they give us an average rating of 4.8 / 5) and we have a measurable impact on the teams we work with.
Role Summary
We’re looking for experienced lead engineers or equivalent to lead targeted micro-workshops for small groups of software engineers. The sessions last up to 90 minutes, take place remotely via our app, and are based around high quality teaching material that we produce. Your job is to bring expertise and enthusiasm for software engineering and ensure our learners leave with a deep understanding of the topic (understanding why, not just knowing what or how), and the ability to apply new skills. You can expect to be teaching senior as well as junior engineers, answering interesting questions tangential to our material, and helping learners to understand and improve the results they see when using LLMs. For this reason, we’ve found that the skill profile required is more similar to pairing or technical mentoring than it is to typical classroom teaching.
What We’re Looking For
We’d love for you to apply if you enjoy building the skills and understanding of others, and have experience with most (at least 4) of the following:
- Explaining basic machine learning concepts to others
- Some knowledge of LLM internals, e.g. transformer building blocks (at least enough to underpin deeper understanding of their behaviour)
- Prompt engineering
- Agentic AI & using IDE integrations with AI agents
- Coding with LLMs, e.g. setting up Cursor/Copilot configs, and writing prompts for coding/debugging
- Integrating/Pipelining with LLMs, e.g. langchain
- Customising LLM tools, e.g. fine tuning LLMs, using RAG systems
You’ll need to have significant expertise and experience in a real-world setting, be able to give nuanced answers to difficult questions, and explain advanced concepts clearly and succinctly.
More Details
Working Hours
Most of our coaches lead between 1 and 4 sessions per week (1.5 - 6 hours), with Skiller Whale making up part of a portfolio career, or adding variety to their main employment, consulting or fractional roles. We typically book regular weekly 90 minute time-slots for these sessions, based around your availability.
The Platform
All our teaching is done through the Skiller Whale platform, which includes video conferencing and other tooling designed to make teaching as slick as possible. High quality written content and exercises are provided by Skiller Whale, so you shouldn’t need to do significant preparation before a session (we assume ½ - 1 hour to get familiar with the material, and we pay for preparation the first time a module is taught).
Accommodations
Should you require any accommodations during the interview process, please reach out to Dave Millican (dave@skillerwhale.com) to let him know. We’re always happy to help and will do everything we can to accommodate you.
Requirements
We want to be seen as intelligent, playful learners. Our customers need to trust us to teach their engineers how they should be building software and working effectively in the real world. For our coaches, that means you need to demonstrate:
- Knowledge & Understanding: You should come across (legitimately) as an expert, able to expand beyond the provided material when appropriate. E.g: examples from your experience in different settings; what you’ve found works well, and what doesn’t.
- Careful Listening and Clear Explanations: You must be able to deliver clear and concise explanations in spoken English and be able to adapt your explanation style to match the level of your audience.
- Expert Spoken and Written English: You should be expert and eloquent in spoken English, with an accent that will be clear to non-native (but fluent) speakers from various backgrounds. You should be able to quickly understand questions with complex phrasing or grammar and know when you need to clarify.
- A Personable, Passionate and Professional Demeanour: You should be able to easily build rapport with new groups of people, and create a safe space for learners to ask questions. You should come across as friendly and demonstrate enthusiasm for the topics you teach, whilst maintaining professionalism.
- Industry Experience: In order to teach senior engineers with confidence, it’s important that you have extensive real-world experience! Learners may well ask about how things are really done in practice and being able to give examples and anecdotes is important.
- Teaching Or Mentoring Experience (formal Or Informal): Experience teaching groups of software engineers, or mentoring other developers (even in an unofficial capacity) is a bonus, particularly if those people were relatively senior. Since this is an essential part of most senior, lead and engineering management roles we would expect most suitable candidates to have some experience here.
Bonus Points For:
- Experience With Multiple Languages / Frameworks / Tools Etc.: All the people we teach are already software developers, but will come from various backgrounds / have experience with different programming languages. Having context from those is sometimes useful to help learners’ understanding.
Benefits
Rate: £100 per hour (+ paid £50 for preparation for each new module taught). Very flexible work - we will aim to schedule sessions that fit your availability, and you have no ongoing commitment. Fully remote, forever. Have a real impact on learners. Our sessions actually make people better at their jobs. Teaching is fun!
Software Development Coach (GenAI + LLMs) employer: Skiller Whale
Contact Detail:
Skiller Whale Recruiting Team
dave@skillerwhale.com
StudySmarter Expert Advice 🤫
We think this is how you could land Software Development Coach (GenAI + LLMs)
✨Tip Number 1
Familiarise yourself with the latest trends in GenAI and LLMs. Being well-versed in current technologies and methodologies will not only boost your confidence but also allow you to engage in meaningful discussions during interviews.
✨Tip Number 2
Prepare to showcase your teaching style. Since the role involves coaching, think about how you can demonstrate your ability to explain complex concepts clearly and engagingly, perhaps through mock sessions or by sharing past experiences.
✨Tip Number 3
Network with other professionals in the field. Engaging with communities focused on software engineering and AI can provide insights into the role and may even lead to referrals, increasing your chances of landing an interview.
✨Tip Number 4
Be ready to discuss real-world applications of your knowledge. Prepare examples from your experience that illustrate how you've successfully implemented LLMs or GenAI in practical scenarios, as this will resonate well with the interviewers.
We think you need these skills to ace Software Development Coach (GenAI + LLMs)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software engineering, particularly any teaching or mentoring roles. Emphasise your expertise with GenAI and LLMs, as well as any specific projects that showcase your skills.
Craft a Compelling Cover Letter: In your cover letter, express your passion for teaching and mentoring software engineers. Mention specific experiences where you've successfully explained complex concepts and how you can bring that to the role at Skiller Whale.
Showcase Your Communication Skills: Since clear communication is key for this role, consider including examples of how you've effectively communicated technical information to diverse audiences. This could be through previous teaching experiences or collaborative projects.
Highlight Real-World Experience: Detail your industry experience and provide anecdotes that demonstrate your ability to apply theoretical knowledge in practical settings. This will help convey your credibility as a coach who can guide learners effectively.
How to prepare for a job interview at Skiller Whale
✨Showcase Your Expertise
Make sure to highlight your real-world experience and knowledge in software engineering, especially with GenAI and LLMs. Be prepared to discuss specific projects or challenges you've faced, as this will demonstrate your depth of understanding.
✨Engage with Enthusiasm
Your passion for teaching and mentoring should shine through during the interview. Use examples that illustrate your excitement about helping others learn and grow in their software engineering skills.
✨Prepare for Technical Questions
Expect to answer nuanced questions about machine learning concepts, LLM internals, and prompt engineering. Brush up on these topics and be ready to explain them clearly and concisely, adapting your explanations to the interviewer's level of understanding.
✨Demonstrate Clear Communication Skills
Since you'll be teaching diverse groups, it's crucial to show that you can communicate complex ideas in a straightforward manner. Practice explaining technical concepts in simple terms, ensuring you can adjust your style based on your audience's background.