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For Companies At a Glance
- Tasks: Design and develop cutting-edge AI systems using large language models.
- Company: Join a forward-thinking tech organisation in the heart of London.
- Benefits: Competitive £700/day, flexible remote work, and a dynamic team environment.
- Other info: Exciting opportunity for growth in a rapidly evolving industry.
- Why this job: Make a real impact in AI while collaborating with talented professionals.
- Qualifications: Experience with LLM APIs, Python, and building scalable AI applications.
The predicted salary is between 60000 - 84000 £ per year.
Our client, a forward-thinking technology organisation, is seeking a Senior AI Engineer to join a team building production-grade AI systems powered by large language models (LLMs).
You will work closely with software engineers and product stakeholders to design, develop, and deploy scalable AI applications, focusing on multi-agent orchestration, intelligent tool integration, and reliable production workflows.
Responsibilities
- Design and implement LLM-powered AI systems, including RAG pipelines, vector/knowledge databases, and agentic frameworks.
- Build and maintain production-grade AI applications with clean code, APIs, data pipelines, and robust error handling.
- Develop and maintain evaluation frameworks to measure and monitor system performance, accuracy, and reliability.
- Implement feedback loops and observability to continuously improve system performance.
- Craft and optimise prompts across different model providers for latency, cost, and output quality.
- Collaborate with developers, stakeholders, and cross-functional teams to deliver scalable, reliable AI solutions.
- Provide day-to-day support and troubleshooting for deployed AI systems.
Required Skills
- Hands-on experience with LLM APIs and deep understanding of capabilities, limitations, and failure modes.
- Practical experience implementing RAG architectures, vector/graph databases, knowledge graphs, and prompt engineering.
- Experience building multi-step LLM workflows and agentic systems using frameworks (e.g., LangChain, LangGraph, Claude Agents SDK) or custom solutions.
- Strong Python (or other modern programming language) skills with production API/service development experience.
- Knowledge of cloud platforms (AWS, GCP, Azure), distributed systems, and CI/CD pipelines.
- Strong data manipulation skills (SQL, pandas) and experience evaluating AI system outputs.
- Ability to work with ambiguity and optimise non-deterministic systems while balancing latency, cost, and quality trade-offs.
Desirable Skills
- Experience with AI-assisted coding tools (Claude Code, OpenAI Codex, GitHub Copilot).
- Knowledge of fine-tuning LLMs for domain-specific applications.
- Familiarity with real-time streaming, multimodal models, or search technologies (e.g., Elasticsearch).
- Experience with model observability tools (LangSmith, Weights & Biases) and cost optimisation strategies.
- Exposure to specialised industries (finance, healthcare, energy, legal, retail) and responsible AI practices.
- Experience with tool-calling agents, handoffs, and guardrails.
Remote Engineer:in (m/w/d) in London employer: Cititec
Contact Detail:
Cititec Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Engineer:in (m/w/d) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AI. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and AI systems. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI and programming. Practise explaining your thought process clearly; it’s all about demonstrating your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our team.
We think you need these skills to ace Remote Engineer:in (m/w/d) in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with LLMs and AI systems. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Technical Skills: When applying, emphasise your hands-on experience with Python and any cloud platforms you've worked with. We love seeing practical examples of your work, especially if you’ve built production-grade applications or implemented RAG architectures.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Highlight your key achievements and how they relate to the responsibilities listed in the job description.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Cititec
✨Know Your LLMs Inside Out
Make sure you brush up on your knowledge of large language models and their APIs. Be ready to discuss their capabilities, limitations, and failure modes in detail. This will show that you’re not just familiar with the technology but can also navigate its complexities.
✨Showcase Your Coding Skills
Prepare to demonstrate your Python skills or any other modern programming language you’re proficient in. Have examples ready that highlight your experience with production API development and clean code practices. This is your chance to shine!
✨Discuss Real-World Applications
Be prepared to talk about your hands-on experience with RAG architectures, vector databases, and prompt engineering. Share specific projects where you’ve implemented these technologies, as this will give the interviewers confidence in your practical abilities.
✨Collaboration is Key
Since the role involves working closely with cross-functional teams, be ready to discuss how you’ve collaborated with developers and stakeholders in the past. Highlight your communication skills and how you’ve contributed to delivering scalable AI solutions together.