AI Engineer – 4 Day Week + Remote

Purpose of the role

We are looking for an AI Engineer who combines deep knowledge of Large Language Models (LLMs) with strong software engineering skills and a pragmatic approach to product development. This person will help us design, build and deploy AI-powered features across Shape App and Channels, working closely with the Product and SRE Teams to define optimal solutions and ensure they run reliably in production.

You should be excited by the challenge of turning AI potential into real, useful features, for construction teams, and you should know when a small, lean approach is better than a large, complex one.

Team

You will join a team of product-minded software engineers, designers, and strategists focused on improving the way construction projects are delivered. You will work closely with Product Managers to shape AI features, and with our SRE Team to ensure production-readiness. You will be the go-to expert on AI/LLMs and play a key role in shaping our AI capability.

Your top 3 objectives

1. Design Lean, Fit-for-Purpose AI Solutions:

– Choose and implement the most appropriate AI/LLM approach for each use case, balancing quality, performance and cost.

2. Integrate AI-features into our Applications:

– From exploration and prototyping to production deployment and iteration, using prompt engineering, model selection, fine-tuning, and evaluation.

3. Prepare for Production:

– Work with SREs to ensure AI features are reliable, scalable, observable, and secure in production.

Your top 5 responsibilities

1. Understand the Product Context:

– Work with product teams to translate user needs into clear AI opportunities and technical requirements.

2. Own the AI Feature Lifecycle:

– From exploration and prototyping to production deployment and iteration, using prompt engineering, model selection, fine-tuning and evaluation.

3. Build AI-Backed Features:

– Contribute production-grade code that integrates AI capabilities into our apps, working alongside other engineers.

4. Guide Production Set-Up:

– Collaborate with SREs to define what infrastructure, observability, and scaling is required for each AI feature.

5. Stay Pragmatic and Up-to-Date:

– Continuously explore new development in LLMs and generative AI but always apply them with a product-first mindset.

Your Capabilities

You are a software engineer who understands how to use LLMs effectively, not just how to train them. You work well with ambiguity and know how to test your ideas quickly. You’re comfortable collaborating with product teams and setting up production-grade systems.

As a candidate, you should have:

– Strong experience in applying LLMs and generative AI to real-world problems.

– Solid foundation in Phyton and ML frameworks (e.g. LangChain, Transformers, OpenAI APIs, etc.).

– Experience with multi-model evaluation and feedback loops.

– Production experience with embeddings, vector databases (like Pinecone, Weaviate or FAISS), and retrieval-augmented generation (RAG) architectures.

– Familiarity with MLOps tooling and observability for inference pipelines.

– A bias for simplicity, clarity, and iterative delivery.

– The ability to communicate clearly with engineers, designers and non-technical stakeholders.

Nice to Have (If you don’t have it now you will after joining)

– Familiarity with production environments, APIs, and containerised systems (Docker, Kubernetes).

– Participation in AI communities, papers or OSS projects.

Shape isn’t the place for you if any of the following is true:

– You want an easy, chilled-out role without much challenge

– You like to be the smartest person in the room

– You don’t like continuously receiving honest candid feedback

– You prefer to do your own thing rather than work with a team

Salary and Benefits

Standard Stuff

– Competitive salary dependent on location and capability

– Paid Annual Leave (Number of days will depend on where you are based) + statutory Bank Holidays

– In-House Coaching Sessions

– Discretionary bonus scheme for all team members

The Life-Changing Stuff

– 4 Day Weeks: That’s right, 4 day weeks

– Flexibility: Getting things done is what really matters, not what time of day you do it. That means you don’t have to ask permission for things like picking up your kids or going to the doctor, just keep your team in the loop if you think they will be affected.

– Grow your whole self: Our leaders are more like coaches and one of our main objectives is to give 5 years’ worth of learning and development for every 1 year with us. You have a coach, mentor, well-being therapist and a development-orientated environment: That’s literally what our vision is all about and the primary reason Shape exists

– Be surrounded by the best: We only hire and retain the very best people. You might be used to being the smartest in the room but that won’t be the case in Shape. You will be surrounded by people you can learn from. We are 100% meritocratic so fast progression is the norm. You will be supported to excel in whichever areas you are most interested in! With Shape, development is unbounded

– Long-term impact: We are focused on solving the biggest issues in construction project delivery in a way that can spread and outlast us

Application

We get thousands of applications so please write us a letter as part of your application explaining:

– Why do you want to join us?

– If you joined, where do you think you could make the most impact and how?

We aren’t a giant faceless corporation; we really care about the people who want to join our team so all applications will be read thoroughly by our key leaders.

In terms of application, we usually start with an intro call to tell you what we are all about in a casual conversation. That helps you to know us a bit better and tell us a bit about yourself.

Tagged as: 5+ Years, AI, machine learning, Python