At a Glance
- Tasks: Build and deploy cutting-edge AI systems and tools for top consumer brands.
- Company: Join a dynamic data intelligence organisation at the forefront of AI innovation.
- Benefits: Competitive salary, equity package, annual bonus, and influence on AI strategy.
- Other info: Exciting opportunities for career growth in a fast-evolving tech environment.
- Why this job: Take ownership of impactful AI projects and shape the future of client-facing products.
- Qualifications: Strong Python skills and experience with RAG systems and AWS deployments.
The predicted salary is between 75000 - 95000 £ per year.
This role offers the chance to join a growing data intelligence organisation and take ownership of production AI systems. You will work with modern LLM technologies, build automated intelligence tools, and contribute to the development of future client facing AI products.
They are a data insights organisation that builds KPI prediction models for well known consumer brands. Their platform gives investors an early view of company performance ahead of earnings. As AI becomes central to their strategy, they are expanding their engineering team to build scalable agentic and RAG powered systems that support both internal teams and customers.
Role- Build end to end RAG pipelines covering ingestion, embeddings, vector search and LLM reasoning.
- Develop agentic workflows using frameworks such as LangChain, CrewAI or ADK.
- Create LLM powered microservices using Python, FastAPI or Flask.
- Build internal AI tools, assistants and automated workflows.
- Deploy AI systems on AWS including Bedrock, Lambda, ECS or EKS, API Gateway and S3.
- Implement CI/CD pipelines and ensure monitoring, observability and reliability across deployed systems.
- Strong commercial experience with Python and production engineering practices.
- Practical experience building RAG systems and agentic architectures.
- Hands on knowledge of vector databases such as Pinecone, Weaviate or Qdrant.
- Experience deploying LLM or AI applications on AWS.
- Ability to design, operate and maintain AI systems independently.
- Comfortable working in evolving environments and taking ownership of technical solutions.
- Salary of £75,000 to £95,000 depending on experience.
- Equity package.
- Annual performance bonus.
- Opportunities to influence AI strategy and contribute to future client facing products.
To be considered for the Senior Associate AI Engineer role, please apply with your CV.
Senior Associate AI Engineer in London employer: Harnham
Join a dynamic data intelligence organisation that prioritises innovation and employee growth, offering a competitive salary and equity package for the Senior Associate AI Engineer role. With a collaborative work culture that encourages ownership of projects and the opportunity to shape AI strategies, this company is an excellent employer for those looking to make a meaningful impact in the tech industry, whether working from London or remotely across the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Associate AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, RAG systems, or AWS deployments. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI engineering. Practice explaining your past projects and how you've tackled challenges in building AI systems. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your relevant experience and passion for AI technology.
We think you need these skills to ace Senior Associate AI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and production engineering practices. We want to see how your skills align with building RAG systems and agentic architectures, so don’t hold back!
Showcase Your Projects:If you've worked on any AI projects or built LLM powered microservices, let us know! Include specific examples that demonstrate your hands-on knowledge of vector databases and deploying applications on AWS.
Keep It Clear and Concise:We appreciate clarity! Make your application easy to read by using bullet points and clear headings. This helps us quickly see how you fit the role and what you bring to the table.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the Senior Associate AI Engineer role. We can’t wait to hear from you!
How to prepare for a job interview at Harnham
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and AWS. Brush up on your experience with RAG systems and agentic architectures, as these will likely be key discussion points during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built AI systems or deployed applications on AWS. Highlight your role in these projects and any challenges you overcame. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand Their Business
Research the company’s data insights platform and how they use AI to build KPI prediction models. Being able to speak about their products and how you can contribute will show your genuine interest and help you stand out.
✨Ask Insightful Questions
Prepare thoughtful questions about their AI strategy and future products. This not only shows your enthusiasm for the role but also gives you a chance to assess if the company aligns with your career goals.
