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 receive paid prep time.
- Why this job: Make a real impact on learners while sharing your passion for software engineering.
- Qualifications: Experience in software engineering, mentoring, and knowledge of machine learning concepts required.
- Other info: Sessions are fully remote, with no ongoing commitment needed.
Overview
We are looking for experienced lead engineers or equivalent to lead targeted micro-workshops for small groups of software engineers. Sessions last up to 90 minutes, take place remotely via our app, and are based around high quality teaching material that we produce. You will bring expertise and enthusiasm for software engineering and ensure 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 teach senior as well as junior engineers, answer interesting questions tangential to our material, and help learners understand and improve results when using LLMs. The role is more akin to pairing or technical mentoring than traditional classroom teaching.
About Skiller Whale
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 rate us highly (average rating 4.8/5) and we have a measurable impact on the teams we work with. Learners say: the real-time feedback loop of learning something, putting it into practice and gaining insight beyond \”it works\”; the ability to ask any questions; and the quality of the coaches.
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 four) of the following:
- Explaining basic machine learning concepts to others
- Some knowledge of LLM internals, e.g. transformer building blocks
- Prompt engineering
- Agentic AI & using IDE integrations with AI agents
- Coding with LLMs (e.g. setting up Cursor/Copilot configs, writing prompts for coding/debugging)
- Integrating/pipelining with LLMs (e.g. LangChain)
- Customising LLM tools (e.g. fine-tuning LLMs, using RAG systems)
You will need significant expertise and real-world experience, be able to provide nuanced answers to difficult questions, and explain advanced concepts clearly and succinctly.
An outline of the first modules of this curriculum can be found here: https://www.skillerwhale.com/gen-ai
More Details
Working Hours
Most coaches lead between 1 and 4 sessions per week (1.5 – 6 hours). Skiller Whale fits as part of a portfolio career or adds variety to other employment, consulting, or fractional roles. We typically book regular weekly 90-minute sessions based on your availability.
The Platform
All teaching is done through the Skiller Whale platform, which includes video conferencing and other tooling to make teaching as smooth 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 allow ½ – 1 hour to become familiar with the material, and we pay for preparation the first time a module is taught).
Accommodations
If you require any accommodations during the interview process, please contact Dave Millican at dave@skillerwhale.com. We’re happy to help and will do what 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 to build software effectively in the real world. For coaches, this means you should demonstrate:
Knowledge & Understanding You should come across as an expert, able to expand beyond the provided material when appropriate (e.g., sharing experiences from different settings, what works well, and what doesn’t).
Careful Listening and Clear Explanations You must deliver clear and concise explanations in spoken English and adapt your explanation style to the audience level.
Expert Spoken and Written English You should be fluent and articulate in English, with an accent clear to non-native speakers from diverse backgrounds. You should understand questions with complex phrasing and know when to seek clarification.
A Personable, Passionate and Professional Demeanor You should build rapport easily, create a safe space for learners to ask questions, and show enthusiasm for the topics while remaining professional.
Industry Experience To teach senior engineers with confidence, you should have extensive real-world experience and be able to share practical examples and anecdotes.
Teaching Or Mentoring Experience (formal or informal) Teaching groups of software engineers or mentoring developers is a bonus, especially for senior roles. Most suitable candidates will have some experience here.
Bonus Points For Experience with multiple languages / frameworks / tools. All learners are software developers from varying backgrounds; context from those backgrounds can help learners, but is not required.
Benefits
- Rate: £100 per hour (+ £50 preparation for each new module)
- Very flexible work – schedule sessions that fit your availability with no ongoing commitment
- Fully remote, forever
- Have a real impact on learners; sessions improve their work
- Teaching is fun
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Software Engineering Coach (GenAI + LLMs) employer: Skiller Whale
Contact Detail:
Skiller Whale Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineering Coach (GenAI + LLMs)
✨Tip Number 1
Familiarise yourself with the latest trends in Generative AI and LLMs. Being able to discuss recent advancements or case studies during your interview can showcase your passion and expertise, making you stand out as a candidate.
✨Tip Number 2
Prepare to demonstrate your teaching style. Since the role involves leading workshops, consider creating a short mock session on a relevant topic. This will help you convey your ability to engage learners and explain complex concepts clearly.
✨Tip Number 3
Network with current or former coaches at Skiller Whale. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your interview process.
✨Tip Number 4
Be ready to share real-world examples from your experience that relate to the topics you'll be teaching. This not only demonstrates your expertise but also shows your ability to connect theory with practical application, which is crucial for this role.
We think you need these skills to ace Software Engineering 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 establish 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 with software engineering, especially in areas like LLMs and GenAI. Be prepared to share specific examples from your past roles that demonstrate your deep understanding of these technologies.
✨Engage with Enthusiasm
Your passion for teaching and mentoring should shine through during the interview. Show that you genuinely enjoy helping others learn and grow, as this is a key aspect of the role.
✨Prepare for Technical Questions
Expect to answer complex questions related to machine learning concepts and LLM internals. Brush up on your knowledge of prompt engineering and coding with LLMs, as you may need to explain these topics clearly and concisely.
✨Demonstrate Clear Communication Skills
Since you'll be teaching both junior and senior engineers, it's crucial to adapt your communication style to your audience. Practice explaining technical concepts in a straightforward manner, ensuring clarity for all levels of understanding.