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For Companies At a Glance
- Tasks: Integrate AI technologies and develop smart workflows to enhance internal tools and customer experiences.
- Company: Paydock is a fast-scaling payments platform revolutionising how businesses manage their payment infrastructure.
- Benefits: Enjoy remote work flexibility, competitive pay, and the chance to make a real impact in fintech.
- Why this job: Join a passionate team and lead AI initiatives in a collaborative, flat-structured environment.
- Qualifications: Experience with AI APIs, prompt engineering, and backend programming (Python, NodeJS) required.
- Other info: Ideal for problem-solvers eager to thrive in a fast-paced, agile setting.
The predicted salary is between 42000 - 84000 £ per year.
Job Description
About Paydock
Paydock is a fast-scaling payments orchestration platform empowering businesses to take control of their payment infrastructure. We're passionate about improving the way people experience payments and are dedicated to building innovative, secure, and scalable systems.
Role Summary
We are looking for a pragmatic and hands-on AI Engineer to join our team—not to build new AI models, but to integrate AI technologies, develop smart workflows, and craft high-quality prompts that improve internal tools, developer productivity, and customer experiences.
You will work closely with product, engineering, and operations teams to embed AI capabilities across Paydock’s platform and internal processes using tools such as OpenAI, Anthropic, and other third-party AI APIs.
Key Responsibilities
- Integrate AI APIs (e.g., OpenAI, Claude, Hugging Face APIs) into internal tools and customer-facing applications.
- Design and implement workflows powered by AI, such as content summarization, support automation, documentation generation, or intelligent query handling.
- Develop prompt chains and prompt strategies for specific business functions (engineering assistance, product support, operational efficiency).
- Collaborate with cross-functional teams to identify and prioritize use cases where AI can drive value.
- Create robust, testable, and maintainable code to support AI workflows using Python, NodeJS, or similar technologies.
- Ensure AI features are compliant, secure, and performant.
- Stay up to date with the latest developments in AI APIs and tooling, and continuously assess potential opportunities.
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What We’re Looking For
- Proven experience integrating AI/LLM APIs into software systems or workflows.
- Strong experience in prompt engineering and chaining logic for AI-based tasks.
- Background in backend engineering (Python, NodeJS, or similar).
- Familiarity with tools like LangChain, OpenAI API, Pinecone, or similar.
- A problem-solver mindset—focused on delivering tangible outcomes using AI.
- Comfortable working in a fast-paced, agile environment.
- Excellent communication and collaboration skills.
Nice to Have
- Experience with workflow orchestration tools (e.g., Temporal, Airflow).
- Familiarity with vector databases or semantic search tools.
- Experience building internal tooling or developer productivity enhancements using AI.
- Exposure to customer support AI tools or RAG (retrieval augmented generation) systems.
Why Join Paydock?
- Work with a passionate, remote-first team that's reshaping payments.
- Opportunity to lead and define AI use cases at a scaling fintech company.
- Flat structure, collaborative culture, and the chance to have a real impact.
- Competitive compensation and flexibility.
AI Engineer employer: Paydock
Contact Detail:
Paydock Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Familiarise yourself with the specific AI APIs mentioned in the job description, such as OpenAI and Anthropic. Understanding how these tools work and their applications will give you a significant edge during discussions with the hiring team.
✨Tip Number 2
Showcase your problem-solving skills by preparing examples of how you've integrated AI into workflows in previous roles. Be ready to discuss tangible outcomes you've achieved through your AI implementations.
✨Tip Number 3
Engage with the Paydock community on platforms like LinkedIn or relevant forums. This can help you gain insights into their culture and current projects, which you can reference during your conversations.
✨Tip Number 4
Brush up on your knowledge of backend engineering, particularly in Python and NodeJS. Being able to discuss your coding experience confidently will demonstrate your technical capabilities to the team.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the AI Engineer position at Paydock. Understand the key responsibilities and required skills, especially around integrating AI technologies and prompt engineering.
Tailor Your CV: Customise your CV to highlight relevant experience in AI integration, backend engineering, and any specific tools mentioned like OpenAI or LangChain. Use keywords from the job description to ensure your application stands out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your problem-solving mindset and your passion for AI. Mention specific projects where you've integrated AI APIs or improved workflows, demonstrating how you can add value to Paydock.
Showcase Collaboration Skills: In your application, emphasise your ability to work in cross-functional teams. Provide examples of past collaborations that led to successful outcomes, as this is crucial for the role at Paydock.
How to prepare for a job interview at Paydock
✨Showcase Your AI Integration Experience
Be prepared to discuss specific projects where you've integrated AI APIs into software systems. Highlight the challenges you faced and how you overcame them, as this will demonstrate your practical experience and problem-solving skills.
✨Demonstrate Prompt Engineering Skills
Since prompt engineering is a key part of the role, come equipped with examples of prompt chains you've developed. Explain the logic behind your choices and how they improved workflows or user experiences.
✨Familiarise Yourself with Relevant Tools
Research tools mentioned in the job description, such as LangChain and OpenAI API. Being able to discuss these tools and their applications will show your enthusiasm and readiness to hit the ground running.
✨Prepare for Collaboration Questions
Given the collaborative nature of the role, think of examples where you've worked with cross-functional teams. Be ready to explain how you communicated complex AI concepts to non-technical stakeholders, showcasing your communication skills.
