At a Glance
- Tasks: Build and scale AI-driven applications with a focus on LLM workflows and seamless integrations.
- Company: Join a fast-growing AI-powered Property Tech business redefining intelligent software interactions.
- Benefits: Enjoy remote work flexibility and the chance to work with cutting-edge technology.
- Other info: Exciting opportunity for those obsessed with AI and eager to experiment in a dynamic environment.
- Why this job: Be part of a passionate team creating meaningful AI experiences that feel like collaborating with a creative partner.
- Qualifications: Strong Python skills, 12 months of production experience with LLM workflows, and knowledge of FastAPI.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
AI Engineer (Contract, 2 Months - Possible extensions)
Location: UK Remote
Our client is an exciting, ambitious, rapidly growing AI powered Property Tech business. Due to rapid start-up growth, they now require a passionate AI Engineer to join the team on a contract basis for 2 month initial period. The successful candidate will help build and scale advanced AI-driven applications, with a strong focus on production-ready LLM workflows, efficient architecture, and seamless integrations.
You’ll work alongside a tight-knit team of engineers and product leads who are deeply committed to building responsible, high-impact AI systems. If you’re excited by the intersection of AI, software engineering, and emerging agentic architectures—this is your place.
The business is an ambitious, fast-moving team building next generation AI-native systems — products that think, learn, and adapt in real time. The vision is to redefine how intelligent software interacts with the world, enabling capabilities that feel more like working with a creative partner than a machine. We’re looking for someone who’s not just skilled but obsessed with AI. If you're driven by curiosity, excited by experimentation, and motivated to contribute to a team building meaningful and novel AI experiences, we want to hear from you.
Minimum Requirements:
- Strong Python skills with clean, maintainable code.
- Proven production experience with LLM workflows and scaling them in real-world applications.
- Solid understanding of advanced prompt engineering techniques.
- Good knowledge and practical experience with FastAPI and RESTful APIs.
- Solid knowledge of PostgreSQL.
- Experience with DevOps/MLOps, including deploying and monitoring ML pipelines.
- Good understanding of audio protocols (e.g., WebRTC, SIP, RTP).
Preferred (Bonus) Skills:
- Production experience with Agno or Phidata.
- Familiarity with Microsoft Autogen or CrewAI agent frameworks.
- Experience with LlamaIndex (formerly GPT Index).
- Practical experience with memory frameworks like Mem0 or Letta.
- Understanding and production experience with traditional RAG and agentic RAG architectures.
- Strong grasp of embedding systems and vector databases (e.g., Pinecone, Weaviate, FAISS).
- Production experience with LiveKit or similar audio/video platforms.
What You’ll Be Doing:
- Building and deploying scalable AI features, agents, and services powered by LLMs.
- Prototyping and refining advanced prompt strategies and memory techniques.
- Contributing to backend and front-end components for real-time, interactive applications.
- Collaborating closely with product and infrastructure teams to ship impactful features.
- Driving clean and reliable deployments with MLOps best practices.
AI Engineer in Cambridge employer: Ascent Sourcing Ltd
Join a dynamic and innovative AI-powered Property Tech company that values creativity and collaboration. As an AI Engineer, you'll be part of a passionate team dedicated to building cutting-edge AI systems, with ample opportunities for professional growth in a fast-paced remote environment. Enjoy the flexibility of remote work while contributing to meaningful projects that redefine intelligent software interactions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in Cambridge
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and LLM workflows. Being able to discuss recent trends or breakthroughs during your conversations can demonstrate your passion and knowledge, making you a standout candidate.
✨Tip Number 2
Network with professionals in the AI field, especially those who have experience in property tech. Engaging in relevant online communities or attending industry meetups can help you gain insights and potentially get referrals.
✨Tip Number 3
Showcase your practical experience with tools like FastAPI and PostgreSQL through personal projects or contributions to open-source. This hands-on experience can be a great conversation starter and highlight your technical skills.
✨Tip Number 4
Prepare to discuss your approach to MLOps and how you've implemented best practices in previous roles. Being able to articulate your experience with deploying and monitoring ML pipelines will show that you're ready for the challenges of this position.
We think you need these skills to ace AI Engineer in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your strong Python skills and any relevant experience with LLM workflows. Emphasise your production experience and any specific projects that showcase your ability to build scalable AI applications.
Craft a Compelling Cover Letter:In your cover letter, express your passion for AI and how it aligns with the company's vision. Mention specific technologies you’ve worked with, such as FastAPI, PostgreSQL, or React.js, and how they relate to the role.
Showcase Relevant Projects:If you have worked on projects involving advanced prompt engineering or MLOps, include these in your application. Provide links to your GitHub or portfolio to demonstrate your hands-on experience.
Highlight Team Collaboration:Since the role involves working closely with a team, mention any previous experiences where you collaborated with engineers or product leads. Highlight your ability to contribute to a tight-knit team environment.
How to prepare for a job interview at Ascent Sourcing Ltd
✨Showcase Your Python Skills
Make sure to highlight your strong Python skills during the interview. Be prepared to discuss your experience with writing clean, maintainable code and provide examples of projects where you've implemented this effectively.
✨Demonstrate LLM Workflow Experience
Since the role requires proven production experience with LLM workflows, come ready to discuss specific projects where you've scaled these applications. Share insights on challenges faced and how you overcame them.
✨Discuss Advanced Prompt Engineering Techniques
Be prepared to talk about your understanding of advanced prompt engineering techniques. You might be asked to provide examples of how you've applied these techniques in real-world scenarios, so have a few ready.
✨Familiarise Yourself with Relevant Technologies
Brush up on technologies mentioned in the job description, such as FastAPI, PostgreSQL, and DevOps/MLOps practices. Being able to discuss your practical experience with these tools will demonstrate your readiness for the role.
