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- Tasks: Lead the development of innovative AI systems and applications using cutting-edge technology.
- Company: Join Aspect, a leading property maintenance team in London, embracing digital transformation.
- Benefits: Enjoy hybrid working, flexible hours, and a supportive team culture focused on growth.
- Why this job: Be at the forefront of AI innovation, making a real impact in a fast-paced environment.
- Qualifications: 5+ years in AI/ML, strong Python skills, and experience with Generative AI applications required.
- Other info: Opportunity to mentor junior engineers and shape the company's AI strategy.
The predicted salary is between 43200 - 72000 £ per year.
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.
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 and frameworks such as AutoGen will give you a competitive edge when discussing your ideas during interviews.
✨Tip Number 2
Network with professionals in the AI field, especially those who have experience in property maintenance or customer service automation. Engaging in relevant online communities or attending industry meetups can help you gain insights and potentially valuable connections.
✨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 AI to enhance customer service or streamline operations, as this will demonstrate your understanding of their business needs.
✨Tip Number 4
Showcase your ability to mentor and collaborate with cross-functional teams. Highlighting your experience in stakeholder management and project delivery will illustrate that you can effectively work with various departments to drive AI initiatives forward.
We think you need these skills to ace Generative AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant 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 Technical Skills: Clearly outline your programming skills, particularly in Python, and mention any relevant libraries you are proficient in. Highlight your experience with CI/CD for AI and cloud platforms, as these are crucial for the role.
Demonstrate Communication Skills: Since the role requires explaining complex AI concepts to non-technical stakeholders, include examples in your application of how you've successfully communicated 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 Generative AI and NLP in detail. Highlight specific projects where you've built or scaled GenAI applications, and be ready to explain the technologies and frameworks you used, such as LLMs and RAG pipelines.
✨Understand the Business Context
Research Aspect's business model and how AI can enhance their property maintenance services. Be ready to discuss how your technical skills can translate into meaningful business outcomes, demonstrating your ability to align AI solutions with their goals.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with stakeholders across various departments, think of examples where you've successfully collaborated on projects. Be ready to discuss how you communicate complex AI concepts to non-technical team members.
✨Emphasise Ethical AI Development
Aspect values responsible AI development, so be prepared to discuss your understanding of AI ethics, fairness, and security. Share any experiences you have with implementing ethical standards in your previous work, as this will resonate well with their company culture.
