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- Tasks: Lead the integration of cutting-edge GenAI technologies into real-world applications.
- Company: Dynamic trading client in Central London with a focus on innovation.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Why this job: Join a team passionate about building impactful AI solutions and shaping the future.
- Qualifications: Proficient in Python, data handling, and experience with GenAI use cases.
- Other info: Collaborative environment with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Certain Advantage are recruiting on behalf of our Trading client for an AI Engineer on a contract basis for 6-12 months initially in London. This will require some onsite days in Central London during the week.
We are seeking Engineers skilled in Python with a strong focus on GenAI and LLMs to lead the integration of cutting-edge language technologies into real-world applications. If you’re someone passionate about building scalable, responsible, and high-impact GenAI solutions then this could be for you!
We’re looking for Engineers offering competent core technical skills in:
- Python Programming
- Data Handling with NumPy, Pandas, SQL
- Use of Git/GitHub for version control
Any experience with these GenAI Use Cases would be relevant and desirable:
- Chatbots
- Copilots
- Document summarisation
- Q&A
- Content generation
To help make your application as relevant as possible, please ensure your CV demonstrates any prior experience you have relating to the below:
- System Integration & Deployment: Triton Inference Server, Hugging Face Inference Endpoints
- API Integration: OpenAI, Anthropic, Cohere, Mistral APIs
- LLM Frameworks: LangChain, LlamaIndex – for building LLM-powered applications
- Vector Databases: FAISS, Weaviate, Pinecone, Qdrant (Nice-to-Have)
- Retrieval-Augmented Generation (RAG): Experience building hybrid systems combining LLMs with enterprise data
- MLOps & Infrastructure
- Content Filtering & Moderation
- Explainability & Transparency
- LLM Safety & Guardrails: Hallucination mitigation, prompt validation, safety layers
- Cross-functional Collaboration: Working with software engineers, DevOps, and product teams
- Rapid Prototyping: Building and deploying MVPs
- Understanding of ML & LLM Techniques: To support integration, scaling, and responsible deployment
- Prompt Engineering: Designing and optimisation prompts for LLMs across use cases
- Evaluation Pipelines: Automating metric tracking via MLflow or custom dashboards
- A/B Testing: Experience evaluating GenAI features in production environments
Does this sound like your next career move? Apply today!
Generative AI Engineer in London employer: Certain Advantage
Contact Detail:
Certain Advantage Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Generative AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to GenAI, LLMs, or any relevant tech. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to Python, data handling, and GenAI applications. Practising with mock interviews can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, we’re here to support you every step of the way!
We think you need these skills to ace Generative AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and GenAI technologies. We want to see how your skills align with the job description, so don’t hold back on showcasing relevant projects or achievements!
Showcase Your Projects: If you've worked on any cool projects involving LLMs or AI integrations, let us know! Include links to your GitHub or any demos that can give us a taste of your work. We love seeing practical applications of your skills.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to see why you’re the perfect fit for this role!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, you’ll find all the info you need about the position there!
How to prepare for a job interview at Certain Advantage
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the specific libraries mentioned, like NumPy and Pandas. Brush up on your experience with GenAI use cases, especially chatbots and document summarisation, as these will likely come up during the interview.
✨Showcase Your Projects
Prepare to discuss any relevant projects you've worked on, particularly those involving LLMs or API integrations. Be ready to explain your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Company’s Needs
Research the trading client and their current use of AI technologies. Tailor your answers to show how your skills can directly benefit their operations. This shows that you’re not just looking for any job, but that you’re genuinely interested in contributing to their success.
✨Prepare for Technical Questions
Expect technical questions related to MLOps, system integration, and prompt engineering. Practise explaining complex concepts in simple terms, as you may need to communicate with cross-functional teams. This will highlight your ability to collaborate effectively.
