At a Glance
- Tasks: Lead the development of innovative AI systems and applications.
- Company: Aspect is a leading property maintenance team in London, embracing digital transformation.
- Benefits: Enjoy hybrid working, flexible hours, and a supportive team culture.
- Why this job: Shape the future of AI in a fast-paced environment with real impact.
- Qualifications: 5+ years in AI/ML, strong Python skills, and experience with Generative AI.
- Other info: Mentorship opportunities and collaboration across departments to drive innovation.
The predicted salary is between 43200 - 72000 £ per year.
About Us
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.
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.
Generative AI Engineer employer: Aspect
Contact Detail:
Aspect Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in Generative AI and large language models. Being well-versed in tools like LangChain or AutoGen will not only boost your confidence but also demonstrate your commitment to staying ahead in this rapidly evolving field.
✨Tip Number 2
Network with professionals in the AI and property maintenance sectors. Attend relevant meetups or webinars to connect with potential colleagues and learn about their experiences, which can provide valuable insights into the role and company culture.
✨Tip Number 3
Prepare to discuss real-world applications of Generative AI that align with the company's goals. Think about how you can leverage your skills to enhance customer service or streamline operations, as this will show your understanding of the business context.
✨Tip Number 4
Be ready to showcase your hands-on experience with deploying AI services, especially in environments like WordPress or Salesforce. Highlighting specific projects where you've successfully integrated AI solutions will set you apart from other candidates.
We think you need these skills to ace Generative AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML, particularly focusing on Generative AI and NLP. Include specific projects or applications you've worked on that demonstrate your skills with LLMs and multi-agent frameworks.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company's digital transformation journey. Mention how your background aligns with their needs, especially in developing scalable AI applications and collaborating with cross-functional teams.
Showcase Relevant Projects: If you have built or contributed to any GenAI applications, be sure to include these in your application. Provide links to your GitHub or portfolio where possible, demonstrating your hands-on experience with tools like PyTorch, TensorFlow, and CI/CD processes.
Highlight Communication Skills: Since the role requires explaining complex AI concepts to non-technical stakeholders, emphasise your communication skills in your application. Share examples of how you've successfully conveyed technical information in previous roles.
How to prepare for a job interview at Aspect
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AI/ML, particularly in Generative AI and NLP. Highlight specific projects where you've built and scaled GenAI applications, and be ready to dive into the technical details of the frameworks and tools you've used.
✨Understand the Business Context
Research Aspect's business model and how AI can enhance their property maintenance services. Be ready to discuss how you can translate technical solutions into meaningful business outcomes that align with their goals.
✨Prepare for Collaboration Questions
Since the role involves working closely with various stakeholders, think of examples where you've successfully collaborated across departments. Be ready to explain how you communicate complex AI concepts to non-technical team members.
✨Demonstrate Ethical Awareness
Given the focus on responsible AI development, be prepared to discuss your understanding of AI ethics, fairness, and security. Share any experiences you have in ensuring compliance with ethical standards in your previous work.