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For Companies At a Glance
- Tasks: Design and build end-to-end AI systems for real-world applications.
- Company: Dynamic tech company focused on innovative AI solutions.
- Benefits: Competitive contract rate, flexible work environment, and opportunity for rapid career growth.
- Why this job: Join a fast-paced team and make a real impact in AI technology.
- Qualifications: Strong Python skills and experience with LLM-powered systems required.
- Other info: Immediate start with multiple positions available from mid to tech lead level.
The predicted salary is between 60000 - 80000 £ per year.
We’re hiring engineers to build a production AI workflow system for a major UK business. This is not feature work. This is designing and shipping end-to-end AI systems that operate under real-world constraints. If you’ve built real AI systems in production, not just wrapped APIs, we should talk.
The Role
- You’ll be embedded in a fast-moving team building an agentic workflow system from scratch.
- At a high level, we are:
- Ingesting high-volume, real-time data
- Enriching it using LLMs and internal services
- Orchestrating workflows across multiple systems
- Routing outputs through human approval and publishing layers
- n8n as the orchestration layer
- Slack as the primary interface (bot / Block Kit)
- WordPress as the CMS / system of record
- AWS (Bedrock, Lambda, Secrets Manager) underneath
- Designing how the system works
- Building and shipping it into production
What You’ll Need
- Strong Python (core requirement)
- Experience building LLM-powered systems in production
- Hands-on RAG / retrieval pipelines (chunking, embeddings, retrieval logic)
- Solid AWS experience (Lambda, Secrets, infra patterns)
- Strong API / integration experience across messy systems
- Comfortable working with event-driven workflows and orchestration
Strong Signals
- You’ve built and owned end-to-end systems, not just components
- You understand failure modes, retries, and observability
- Experience with n8n, Temporal, or similar orchestration tools
- Experience integrating Slack (bots / Block Kit) or similar interfaces
- You’ve worked with vector databases / embedding pipelines
What Separates Great Candidates
- You’ve shipped AI systems that people actually use
- You think in systems, not endpoints
- You’re comfortable with ambiguity and moving fast
- You take ownership and push things forward without being told
Details
- London (3 days onsite)
- Contract
- Immediate start
- Outside IR356-12 month engagement
- Multiple hires across mid → tech lead level.
Apply
Drop me a message or apply below.
Artificial Intelligence Engineer in City of London employer: Conquer AI
Contact Detail:
Conquer AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in City of 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 refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs and real-world applications. 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 system design and orchestration concepts. Be ready to discuss how you've tackled challenges in building end-to-end AI systems and how you approach problem-solving in ambiguous situations.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Artificial Intelligence Engineer in City of London
Some tips for your application 🫡
Show Off Your Experience: When you're writing your application, make sure to highlight your hands-on experience with building AI systems in production. We want to see how you've tackled real-world challenges, so don't hold back on the details!
Tailor Your Application: Make your application stand out by tailoring it to the job description. Use keywords from the listing, like 'Python', 'LLM', and 'event-driven workflows'. This shows us you understand what we're looking for and that you're a great fit.
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid fluff and focus on your relevant skills and experiences. Remember, we’re busy building systems, so make it easy for us to see your value!
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 role. Plus, it makes the whole process smoother for both of us!
How to prepare for a job interview at Conquer AI
✨Know Your AI Systems Inside Out
Make sure you can discuss your experience with building end-to-end AI systems in detail. Be ready to explain the challenges you faced, how you overcame them, and the real-world constraints you worked under. This will show that you understand the complexities of the role.
✨Showcase Your Python Skills
Since strong Python skills are a core requirement, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so brush up on your Python knowledge and be ready to write clean, efficient code.
✨Familiarise Yourself with the Tech Stack
Get to know the tools mentioned in the job description, like n8n, AWS services, and Slack integrations. If you have experience with these, be prepared to discuss specific projects where you used them and how they contributed to the success of your systems.
✨Embrace Ambiguity and Ownership
The role requires someone who is comfortable with ambiguity and can take ownership of their work. Think of examples from your past where you had to navigate uncertainty or lead a project without much guidance. This will highlight your proactive approach and ability to push things forward.