AI Engineer
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Job Description
AI Engineer building LLM-powered features for Shape.Construction’s construction management software. Integrating, evaluating, and deploying reliable AI solutions with product and SRE teams.
Responsibilities:
- Design and implement lean, fit-for-purpose AI/LLM solutions, balancing quality, performance and cost
- Design, build and deploy AI-powered features across Shape App and Channels
- Work with product teams to translate user needs into AI opportunities and technical requirements
- Own the AI feature lifecycle from exploration and prototyping through production deployment and iteration
- Integrate AI capabilities into applications using prompt engineering, model selection, fine-tuning and evaluation
- Contribute production-grade code alongside other engineers
- Collaborate with SREs on infrastructure, observability, scaling, reliability and security
- Continuously explore developments in LLMs and generative AI with a product-first mindset
- Act as the go-to expert on AI/LLMs and help shape the company’s AI capability
Requirements:
- Strong experience in 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 such as Pinecone, Weaviate or FAISS, and retrieval-augmented generation (RAG) architectures
- Familiarity with MLOps tooling and observability for inference pipelines
- Ability to communicate clearly with engineers, designers and non-technical stakeholders
- Nice to have: familiarity with production environments, APIs, and containerised systems (Docker, Kubernetes)
- Nice to have: participation in AI communities, papers or OSS projects
- Applicants are encouraged to submit a letter explaining why they want to join and where they could make the most impact
Benefits:
- 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
- 4 Day Weeks
- Flexibility in working hours and personal appointments
- Coach, mentor, well-being therapist and a development-orientated environment
- Fast progression and unbounded development opportunities
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