AI Engineer: Lean, Production-Ready AI for Construction

Shape Construction; Portugal; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

4 Day Weeks

In-House Coaching

Discretionary bonus

Job summary

Shape Construction is seeking an AI Engineer who combines deep knowledge of Large Language Models with strong software engineering skills to design, build and deploy AI-powered features across Shape App and Channels, working closely with Product and SRE Teams to define optimal solutions and ensure they run reliably in production.

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

Qualifications

• Strong experience applying LLMs and generative AI to real-world problems.
• Solid foundation in Python and ML frameworks (e.g. LangChain, Transformers, OpenAI APIs).
• Experience with multi-model evaluation and feedback loops.
• Production experience with embeddings, vector databases (Pinecone, Weaviate or FAISS), and RAG architectures.
• Familiarity with MLOps tooling and observability for inference pipelines.
• Bias for simplicity, clarity, and iterative delivery.
• Ability to communicate clearly with engineers, designers and non-technical stakeholders.

Responsibilities

• Design Lean, Fit-for-Purpose AI Solutions for each use case, balancing quality, performance and cost.
• Integrate AI-features into applications from prototyping to production deployment and iteration.
• Prepare for production by coordinating with SREs on reliability, scalability, and observability.

Skills

LLMs

Python

LangChain

Transformers

OpenAI API

Evaluation

Vector DBs

RAG

MLOps

Observability

Communication

Tools

Docker

Kubernetes

Pinecone

Weaviate

FAISS

Job description

Shape Construction is seeking an AI Engineer who combines deep knowledge of Large Language Models with strong software engineering skills to design, build and deploy AI-powered features across Shape App and Channels, working closely with Product and SRE Teams to define optimal solutions and ensure they run reliably in production.

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