At a Glance
- Tasks: Design and build cutting-edge AI systems that drive real business impact.
- Company: Join Conquer AI, a leader in deploying agentic AI for top global enterprises.
- Benefits: Enjoy equity options, real ownership, and the chance to work on high-value problems.
- Other info: Dynamic environment focused on growth, collaboration, and tackling meaningful challenges.
- Why this job: Be part of a fast-paced team that ships innovative solutions and makes a difference.
- Qualifications: Strong software engineering skills in Python or Node.js; experience with LLMs is a plus.
The predicted salary is between 60000 - 80000 £ per year.
Conquer AI is hiring AI Engineers to join our UK team and build production-grade agentic AI systems inside some of the largest organisations in the world. This is a hands-on engineering role. You will be designing and shipping systems that sit at the core of real business workflows, not prototypes, not experiments. We work directly with enterprise teams across FTSE 100, FTSE 250, and Fortune 500 businesses, embedding AI into operations where it drives measurable impact. You will build alongside stakeholders, close to the problem, translating real-world workflows into working systems.
What You’ll Build
- Extracting, structuring, and reasoning over unstructured data (PDFs, emails, reports) using LLMs and ML Agentic AI workflows
- Systems that can take actions, make decisions, and continuously improve with human-in-the-loop feedback
- End-to-end pipelines from ingestion → processing → reasoning → output, with auditability and traceability built in
- Operational AI systems embedded directly into business processes to improve speed, accuracy, and decision-making
Everything is built for production environments with real users.
Tech Environment
- Languages: Python, TypeScript, Node.js
- AI / ML: LLMs, applied machine learning, RAG architectures
- Data: Structured + unstructured data pipelines
- Infrastructure: AWS and modern cloud environments
Responsibilities
- Design and build production-grade AI systems end-to-end
- Develop LLM-powered pipelines for extraction, reasoning, and automation
- Implement agentic workflows with human-in-the-loop controls
- Work directly with stakeholders to translate workflows into working software
- Build systems with traceability, evaluation, and continuous improvement loops
- Ship quickly and iterate based on real-world usage
Requirements
Must Have
- Strong software engineering experience (Python and/or Node.js / TypeScript)
- Experience building or working with LLM-based systems in production
- Understanding of prompting, RAG patterns, and LLM evaluation
- Experience handling unstructured data and building data pipelines
- Ability to operate in fast-paced, ambiguous environments
Nice to Have
- Experience with applied machine learning systems
- Exposure to enterprise environments and complex system integrations
- Experience building end-to-end AI products, not just models
- Familiarity with human-in-the-loop systems and feedback loops
What We’re Looking For
- High agency — you take ownership and push things forward
- Comfortable in a fast-moving environment where you’re expected to build, not wait
- Engineers who care about outcomes, not just code
- People who want to work on hard, meaningful problems
This is not a 9–5 environment. It suits builders.
What You’ll Get
- Real ownership from day one
- Greenfield engineering, not legacy maintenance
- Work on high-value problems inside global enterprises
- Equity upside
- A team that moves quickly and actually ships
About Conquer AI
Conquer AI designs and deploys agentic AI systems into enterprise organisations. We work across FTSE 100, FTSE 250, and Fortune 500 businesses, helping them rethink how critical workflows operate using AI. Our focus is simple: build systems that work in production and deliver measurable impact.
Software Engineer in London employer: Conquer AI
At Conquer AI, we pride ourselves on being an exceptional employer that champions innovation and collaboration in a fully remote environment. Our work culture fosters autonomy and accountability, allowing you to take full ownership of live enterprise AI programmes while engaging directly with prestigious FTSE 100, FTSE 250, and Fortune 500 clients. With competitive compensation packages, including equity, and ample opportunities for professional growth, we are committed to supporting your career journey as we scale rapidly in the dynamic tech landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer in 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 projects, especially those involving AI systems or data pipelines. This gives you a chance to demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. Don’t forget to brush up on your knowledge of LLMs and unstructured data handling, as these are hot topics in the field right now.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Tailor your application to highlight your relevant experience and how you can contribute to building impactful AI systems at Conquer AI.
We think you need these skills to ace Software Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your software engineering experience, especially with Python and Node.js or TypeScript, as well as any work you've done with LLM-based systems.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about building production-grade AI systems. Share specific examples of how you've tackled complex problems in fast-paced environments, and don’t forget to mention your ownership mindset!
Showcase Your Projects:If you’ve worked on relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We want to see how you've built end-to-end AI products and handled unstructured data.
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, it shows us you’re keen to join our team!
How to prepare for a job interview at Conquer AI
✨Know Your Tech Stack
Make sure you’re well-versed in Python, TypeScript, and Node.js. Brush up on your experience with LLM-based systems and be ready to discuss how you've handled unstructured data in the past. This will show that you understand the technical requirements of the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Be ready to explain your thought process and how you translated real-world workflows into working software. This is key for demonstrating your ability to build production-grade systems.
✨Emphasise Your Ownership Mindset
Conquer AI values high agency, so come prepared to discuss times when you took ownership of a project or pushed things forward. Highlight your comfort in fast-paced environments and your commitment to delivering outcomes, not just writing code.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to AI systems and their integration into business processes. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values as a builder.
