Software Engineering Coach (GenAI + LLMs)
Software Engineering Coach (GenAI + LLMs)

Software Engineering Coach (GenAI + LLMs)

Leeds Full-Time No home office possible
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At a Glance

  • Tasks: Lead engaging micro-workshops for software engineers, enhancing their skills in GenAI LLMs.
  • Company: Join Skiller Whale, a dynamic tech company transforming learning experiences.
  • Benefits: Earn £100 per hour plus prep pay, enjoy flexible remote work, and make a real impact.
  • Why this job: Share your expertise and passion for software engineering while helping others grow.
  • Qualifications: Real-world software development experience and strong communication skills required.
  • Other info: Flexible hours, no ongoing commitment, and a fun teaching environment.

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

Skiller Whale is an exceptional employer that fosters a dynamic and supportive work culture, allowing Software Engineering Coaches to thrive in a fully remote environment. With flexible working hours and the opportunity to lead engaging micro-workshops, coaches can make a significant impact on learners while enjoying competitive pay and preparation compensation. The company prioritises professional growth and encourages a playful learning atmosphere, making it an ideal place for those passionate about mentoring and advancing their skills in software engineering.
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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

Get your network buzzing! Reach out to fellow software engineers, mentors, or even past colleagues. Let them know you're on the lookout for opportunities like the Software Engineering Coach role at Skiller Whale. You never know who might have a lead or can put in a good word for you!

Tip Number 2

Show off your skills! Create a portfolio that highlights your expertise in LLMs and coaching. Include examples of how you've explained complex concepts or mentored others. This will not only impress potential employers but also give you confidence during interviews.

Tip Number 3

Practice makes perfect! Before any interview, run through common questions related to software engineering and coaching. Think about how you'd explain machine learning concepts or prompt engineering. The more prepared you are, the more relaxed you'll feel when it’s showtime!

Tip Number 4

Apply through our website! It’s super easy and ensures your application gets directly into the right hands. Plus, it shows you're genuinely interested in joining the Skiller Whale team. Don’t miss out on this chance to make a real impact on learners!

We think you need these skills to ace Software Engineering Coach (GenAI + LLMs)

Machine Learning Concepts
LLM Internals
Prompt Engineering
Agentic AI
IDE Integrations with AI Agents
Coding with LLMs
Integrating with LLMs
Customising LLM Tools
Real-World Software Development Experience
Teaching Experience
Mentoring Experience
Clear Communication Skills
Professional Demeanour
Adaptability to Audience Level
Fluent Spoken and Written English

Some tips for your application 🫡

Show Your Passion: When writing your application, let your enthusiasm for software engineering shine through! We want to see how much you love teaching and mentoring others, so share your experiences and what drives you in this field.

Tailor Your Application: Make sure to customise your application to highlight your relevant skills and experiences. Focus on your knowledge of LLMs and any teaching or mentoring you've done. This helps us see how you fit into our coaching approach!

Be Clear and Concise: We appreciate clear communication, so keep your application straightforward. Use simple language to explain complex concepts, just like you would when teaching a workshop. This shows us you can adapt your explanations to different audiences.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at Skiller Whale

Know Your Stuff

Make sure you brush up on the basics of machine learning and LLM internals. Be ready to explain concepts like transformer building blocks clearly, as you'll need to demonstrate your expertise during the interview.

Show Your Teaching Style

Since the role involves coaching, think about how you can showcase your teaching approach. Prepare to discuss how you would engage learners and adapt your explanations based on their skill levels. Maybe even share a quick example of how you've done this before!

Be Ready for Questions

Expect tangential questions that might come up during discussions. Practice answering complex queries succinctly and clearly, showing your ability to think on your feet while maintaining a professional demeanour.

Create a Connection

Building rapport is key! Think about how you can create a safe space for questions and encourage interaction. Show your enthusiasm for software engineering and make it clear that you genuinely care about helping others learn.

Software Engineering Coach (GenAI + LLMs)
Skiller Whale
Location: Leeds
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