Software Development Coach (GenAI + LLMs)
Software Development Coach (GenAI + LLMs)
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Job Description
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 Ive had by miles
I loved that I could ask any questions at all and learned new things even in a technology Ive 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
Role Summary
Were 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 (understandingwhy not just knowingwhatorhow) 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 weve found that the skill profile required is more similar to pairing or technical mentoring than it is to typical classroom teaching.
What Were Looking For
Wed 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
Youll 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. 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 shouldnt need to do significant preparation before a session (we assume - 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 toDaveMillican () to let him know. Were always happy to help and will do everything we can to accommodate you. 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 youve found works well and what doesnt. 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 its 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. Bonus Points For: Teaching or Mentoring Experience. 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. 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.
An outline of the first modules of this curriculum can be found here: Details
Requirements
Benefits
Employment Type
Contract
