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For Companies At a Glance
- Tasks: Design and build cutting-edge AI systems from scratch for real-world applications.
- Company: Join a dynamic team at a leading UK tech firm.
- Benefits: Competitive contract rates, flexible work environment, and immediate start.
- Why this job: Make a real impact by creating innovative AI solutions that people use.
- Qualifications: Strong Python skills and experience with LLM-powered systems required.
- Other info: Fast-paced environment with opportunities for growth and ownership.
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
The core stack includes:
- 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
This is a systems problem, not a single-service build. You’ll be responsible for both:
- 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
- Location: London (3 days onsite)
- Contract: Immediate start
- Outside IR35
- 6-12 month engagement
- Multiple hires across mid → tech lead level.
Apply by dropping a message or applying below.
Artificial Intelligence Engineer employer: Conquer AI
Contact Detail:
Conquer AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨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 tools like n8n. Be ready to discuss your past experiences with building end-to-end systems and how you tackled challenges in production environments.
✨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
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 our job description. Use the same language and keywords we’ve mentioned, like 'end-to-end systems' and 'event-driven workflows'. This shows us you really understand what we're looking for.
Be Clear and Concise: Keep your application clear and to the point. We appreciate a well-structured application that gets straight to the heart of your skills and experiences. Avoid fluff and focus on what makes you a great fit for the role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Conquer AI
✨Know Your Tech Stack
Make sure you’re well-versed in the core technologies mentioned in the job description, especially Python and AWS. Brush up on your experience with LLMs and orchestration tools like n8n. Being able to discuss specific projects where you've used these technologies will show that you’re not just familiar but have hands-on experience.
✨Showcase Your Systems Thinking
This role is all about designing and shipping end-to-end AI systems. Be prepared to talk about how you approach system design, including failure modes and observability. Share examples of past projects where you’ve built complete systems rather than just components, highlighting your ability to think holistically.
✨Prepare for Real-World Scenarios
Since the job involves working under real-world constraints, think of scenarios where you had to adapt your solutions to meet practical challenges. Discuss how you handled high-volume data ingestion or orchestrated workflows across multiple systems. This will demonstrate your problem-solving skills and adaptability.
✨Engage with the Team Dynamics
You’ll be embedded in a fast-moving team, so it’s crucial to show that you can collaborate effectively. Prepare to discuss how you’ve worked in agile environments and how you communicate with team members, especially when integrating different systems or handling event-driven workflows. Highlighting your teamwork skills will set you apart.