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- Tasks: Design and deploy cutting-edge AI systems using large language models.
- Company: Join a fast-growing AI consultancy trusted by top enterprises worldwide.
- Benefits: Competitive salary, bonuses, and immense career growth opportunities.
- Other info: Dynamic start-up environment with a focus on collaboration and innovation.
- Why this job: Work on innovative projects that solve real-world problems with AI technology.
- Qualifications: Experience in software engineering and AI system implementation required.
The predicted salary is between 60000 - 80000 £ per year.
About Indicium AI
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability.
Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact.
We're seeking an experienced AI Engineer to design, build, and deploy production-grade AI systems powered by large language models. This role sits at the intersection of software engineering and AI implementation, focusing on building reliable, scalable applications rather than model training or research.
You'll work with cutting-edge LLM technologies, building advanced AI systems that solve complex real-world problems through multi-agent orchestration, intelligent tool integration, and robust production workflows.
You’ll combine strong software engineering fundamentals with deep practical knowledge of LLM capabilities, limitations, and best practices for building non-deterministic systems that users can trust.
- Design and implement production AI systems integrating LLMs, RAG pipelines, vector databases, and agentic frameworks.
- Create evaluation frameworks to measure and monitor system performance, accuracy, and reliability.
- Build and maintain production-grade AI applications with clean code, appropriate error handling, APIs, and data pipelines.
- Experience implementing, maintaining and evaluating retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, retrieval techniques such as HyDE).
- Implement feedback loops and observability to continuously improve system performance.
- Craft effective prompts and optimize for latency, cost, and quality across different model providers and configurations.
- Hands-on experience building applications with LLM APIs and deep understanding of their capabilities, limitations, and failure modes.
- Practical implementation of RAG architectures, vector databases, knowledge graphs and prompt engineering.
- Experience building multi-step LLM workflows and agentic systems using frameworks (e.g. or custom implementations where needed).
- Strong Python (or other modern programming language) proficiency with production API/service development experience and cloud platform knowledge (AWS, GCP, Azure).
- Understanding of distributed systems, CI/CD, testing frameworks, and deployment pipelines.
- Solid foundations and understanding of production-grade, cloud-native platform and infrastructure requirements, design, and implementation.
- Strong data manipulation skills (pandas, SQL) and understanding of evaluation strategies for LLM-based systems.
- Ability to work with ambiguity and optimise non-deterministic systems through a process of experimentation and evaluation while balancing latency/cost/quality tradeoffs.
- Experience with AI-assisted coding using tools like Claude Code, OpenAI Codex, Github Copilot.
- Experience in specialised verticals (financial services, energy, healthcare, legal, retail) with understanding of compliance, security, and responsible AI practices.
Why Indicium AI
Fast-growing start-up organisation with huge opportunity for career growth. Highly competitive salary package along with company bonus.
Engineer gezocht in City of London employer: Indicium AI
Contact Detail:
Indicium AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineer gezocht in City of London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI field. Attend meetups, webinars, or even just chat with folks on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and AI systems. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at Indicium AI.
We think you need these skills to ace Engineer gezocht in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of AI Engineer. Highlight your experience with LLMs, production systems, and any relevant projects that showcase your skills in software engineering and AI implementation.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for Indicium AI. Don’t forget to mention specific technologies or methodologies you’ve worked with.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's building AI systems or working with vector databases, real-world examples can really set you apart from other candidates.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Indicium AI
✨Know Your AI Stuff
Make sure you brush up on your knowledge of large language models and their applications. Be ready to discuss specific projects you've worked on that involved LLMs, RAG architectures, or vector databases. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Coding Skills
Prepare to demonstrate your coding abilities, especially in Python or any modern programming language. You might be asked to solve a problem on the spot, so practice writing clean, efficient code and be familiar with APIs and cloud platforms like AWS or GCP.
✨Understand the Business Impact
Indicium AI is all about delivering measurable impact through AI. Be prepared to discuss how your work can drive business outcomes. Think about how you've used AI to solve real-world problems and be ready to share those examples.
✨Ask Smart Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's projects, culture, and future direction. This shows your genuine interest in the role and helps you assess if it's the right fit for you.