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

Software Engineering Coach (GenAI + LLMs)

Newcastle upon Tyne Full-Time No home office possible
Skiller Whale

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 machine learning, LLMs, and teaching or mentoring software developers.
  • Other info: Sessions are 90 minutes long, with a focus on practical skills and real-world applications.

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 based around high quality teaching material that we produce.

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 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.

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 love us (they give us an average rating of 4.8 / 5) and we have a measurable impact on the teams we work with.

Our learners say:

| \”The real-time feedback loop of learning something, putting it into practice and getting insight beyond \’it works\’ beats any other learning experience I\’ve had by miles\”

| \”I loved that I could ask any questions at all, and learned new things even in a technology I\’ve been using for 15 years!\”

| \”The biggest pro of Skiller Whale is the quality of the coaches. I really appreciate the deep knowledge they had both on the internals of Python, and how to architect systems\”

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.

An outline of the first modules of this curriculum can be found here: https://www.skillerwhale.com/gen-ai

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 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!

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Software Engineering Coach (GenAI + LLMs) employer: Skiller Whale

Skiller Whale is an exceptional employer for those passionate about teaching and mentoring in the tech industry, offering a fully remote work environment that allows for flexible scheduling. With competitive pay rates and a strong emphasis on personal growth, employees can make a tangible impact on learners while enjoying a supportive and engaging work culture that values expertise and real-world experience.
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 GenAI and LLMs. Being able to discuss recent advancements or challenges in these areas during your interview will demonstrate your passion and expertise, making you a more attractive candidate.

Tip Number 2

Prepare to showcase your teaching style. Since the role involves coaching, think of ways to illustrate how you would explain complex concepts clearly and engagingly. You might even consider preparing a short mock session to highlight your approach.

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 help you tailor your responses during the interview.

Tip Number 4

Be ready to discuss your real-world experience with software engineering. Prepare specific examples that showcase your problem-solving skills and how you've successfully mentored others, as this will resonate well with the interviewers.

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

Expertise in Software Engineering
Knowledge of Machine Learning Concepts
Understanding of LLM Internals
Prompt Engineering Skills
Experience with Agentic AI
Proficiency in Coding with LLMs
Integration and Pipelining with LLMs
Customisation of LLM Tools
Strong Communication Skills
Ability to Explain Complex Concepts Clearly
Real-World Software Development Experience
Teaching or Mentoring Experience
Adaptability to Different Learning Styles
Passion for Teaching and Learning

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in software engineering, particularly with GenAI and LLMs. Emphasise any teaching or mentoring roles you've held, as well as specific technologies and methodologies you are familiar with.

Craft a Compelling Cover Letter: In your cover letter, express your passion for teaching and mentoring in software development. Mention specific examples of how you've helped others learn complex concepts, especially in areas related to machine learning and LLMs.

Showcase Your Expertise: When detailing your experience, focus on your ability to explain advanced concepts clearly. Provide examples of how you've successfully communicated technical information to both junior and senior engineers.

Highlight Real-World Experience: Include anecdotes from your professional background that demonstrate your practical knowledge of software engineering. This will help establish your credibility as a coach who can provide valuable insights beyond theoretical knowledge.

How to prepare for a job interview at Skiller Whale

Show Your Expertise

Make sure to demonstrate your deep understanding of software engineering concepts, especially around GenAI and LLMs. Be prepared to share real-world examples from your experience that highlight your expertise and how you've applied these concepts in practice.

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. Use positive body language and an engaging tone to connect with the interviewer.

Practice Clear Communication

Since you'll be explaining complex topics, it's crucial to communicate clearly and concisely. Practice explaining some technical concepts in simple terms, ensuring you can adapt your explanations based on the audience's level of understanding.

Prepare for Questions

Expect to answer challenging questions related to LLMs and software engineering. Think about potential queries that might arise and prepare nuanced responses. This will showcase your ability to think critically and provide valuable insights during the sessions.

Software Engineering Coach (GenAI + LLMs)
Skiller Whale
Location: Newcastle upon Tyne

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