Generative AI Engineer

At Aspect, we’re one of London’s largest property maintenance teams, covering more trades than anyone else and operating 24/7. After more than 15 years of trusted service to thousands of residential and commercial customers, we’re entering an exciting phase of rapid digital transformation. We’re investing heavily in AI and automation to reimagine how we deliver customer service, field operations, and internal workflows. We’re now looking for an experienced Generative AI Engineer to lead the charge in developing and scaling intelligent systems and agentic applications that drive meaningful business outcomes.

The Role

As our Generative AI Engineer, you’ll be at the forefront of innovation — designing and deploying next-generation AI systems using large language models (LLMs), multi-agent frameworks, and cutting-edge GenAI tooling. You’ll partner closely with stakeholders across Product, Design, and Operations to translate business needs into intelligent, scalable applications. This role is hands-on and strategic: you’ll build solutions end-to-end while also helping shape the company’s broader AI strategy.

You Will:

• Design and build production-ready GenAI applications using LLMs and multi-agent frameworks (e.g., LangGraph, CrewAI, AutoGen).
• Collaborate with stakeholders across departments to identify high-impact AI use cases, translate requirements, and deliver solutions that align with business goals.
• Develop and fine-tune LLMs and implement Retrieval-Augmented Generation (RAG) pipelines for specialized knowledge tasks.
• Engineer agentic workflows, including hierarchical agents, swarms, and complex coordination logic for multi-tasking and automation.
• Integrate GenAI tools into platforms such as WordPress and Salesforce to enhance customer-facing services.
• Mentor junior engineers, promote best practices, and contribute to AI architecture and strategic planning.
• Work with multi-modal models (text, vision, voice) to build versatile and conversational AI systems.
• Drive responsible AI development with a focus on fairness, security, and governance in compliance with ethical standards.

Required Skills & Experience

• 5+ years in AI/ML, with at least 1 year focused on Generative AI and NLP.
• Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow.
• Proven experience building and scaling GenAI applications in production.
• Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation.
• Familiarity with frameworks like LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen, or similar.
• Experience with CI/CD for AI (GenAIOps), model monitoring, and cloud platforms: Google Vertex AI, AWS SageMaker, or Azure AI.
• Knowledge of AI security, model explainability, and Responsible AI principles.
• Experience building or integrating voice-enabled chatbots and multi-modal systems.
• Experience working with open-source AI tools and hardware like GROQ is a plus.
• Hands-on experience deploying AI services in WordPress or similar CMS environments.
• Excellent communication skills and ability to explain complex AI concepts to non-technical stakeholders.
• Strong stakeholder management and project delivery experience across cross-functional teams.

Preferred Qualifications

• Background in AI ethics, fairness, compliance, or regulatory frameworks.
• Familiarity with Salesforce, vector databases (Pinecone, Weaviate, FAISS), graph-based reasoning, or knowledge graphs.
• Experience in property maintenance, home services, or customer service automation (not required, but a bonus).

Why Join Us?

• Be a key player in shaping the AI future of a rapidly growing company.
• Work in a fast-moving, collaborative environment with autonomy and impact.
• Hybrid working with flexible hours and the opportunity to work on cutting-edge tech.
• Supportive team culture that values innovation, transparency, and personal growth.

Apply now and help us bring intelligent systems to life at one of London’s most recognized property service companies.