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- Tasks: Integrate AI technologies into fintech systems and enhance user experiences.
- Company: Rapidly scaling fintech platform with a collaborative, remote-first culture.
- Benefits: Competitive salary, remote flexibility, and high-ownership role with direct impact.
- Other info: Opportunity to lead AI adoption and work closely with product and leadership teams.
- Why this job: Join a dynamic team to drive AI innovation in a fast-paced environment.
- Qualifications: Experience with AI APIs, strong coding skills in Python or NodeJS.
The predicted salary is between 60000 - 80000 £ per year.
A rapidly scaling fintech platform is hiring an AI Engineer to help integrate AI-powered functionality into its core infrastructure, internal tooling, and customer-facing systems. The company provides mission-critical payments orchestration infrastructure to enterprise clients and is now investing in AI-driven enhancements to drive productivity, automation, and intelligent user experiences. With a strong focus on security, scalability, and innovation, the business operates a fully remote model with a collaborative, impact-led engineering culture.
This is a highly hands-on engineering role focused on integrating existing AI/LLM technologies—not building new models. The AI Engineer will work across multiple functions to craft effective prompt strategies, deploy AI workflows, and embed third-party APIs like OpenAI, Claude, and Hugging Face into internal tools and product features. You’ll operate at the intersection of product, engineering, and ops, identifying use cases and delivering practical solutions that improve developer productivity and customer experience.
KEY RESPONSIBILITIES- Integrate third-party AI APIs (e.g., OpenAI, Claude, Hugging Face) into both internal tools and end-user products
- Build intelligent workflows for summarization, query handling, documentation, support automation, and more
- Design prompt chains and task-specific prompt engineering solutions for various business functions
- Collaborate with engineering, product, and operations to prioritize high-impact use cases
- Write maintainable, production-ready code using Python, NodeJS, or related backend technologies
- Ensure all AI-related features meet company standards for security, compliance, and performance
- Continuously evaluate new AI tooling and APIs to drive further opportunities
- Hands-on experience integrating AI/LLM APIs into production environments
- Strong proficiency in prompt engineering and chaining logic
- Solid backend engineering foundation, ideally in Python or NodeJS
- Familiarity with frameworks such as LangChain, Pinecone, or equivalent
- Strong problem-solving focus and delivery-oriented mindset
- Comfortable working in a fast-paced, agile product environment
- Clear communicator and strong cross-functional collaboration skills
- Experience with orchestration tools like Airflow or Temporal
- Exposure to vector databases or semantic search
- Experience using AI to build internal developer productivity tools
- Knowledge of RAG (retrieval augmented generation) pipelines or customer support AI systems
- Remote-first with flexibility across European time zones
- Flat structure and fast decision-making environment
- Direct exposure to product and leadership teams
- Role offers autonomy and the chance to lead AI adoption from the ground up
- Competitive salary and remote flexibility
- High-ownership role with direct business impact
- Fast-paced, collaborative fintech culture
- Opportunity to define and drive AI use cases in a modern engineering team
If you're passionate about applied AI and want to work at the core of a growing fintech's technical evolution, this is a rare opportunity to own and deliver high-leverage systems from day one.
AI Engineer employer: ParleyX
Contact Detail:
ParleyX Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the fintech and AI space on LinkedIn or at industry events. A personal connection can often get your foot in the door faster than a CV.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI integrations or prompt engineering. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common AI-related questions and coding challenges. Practice makes perfect, so consider mock interviews with friends or mentors to build confidence.
✨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 AI Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with AI/LLM technologies. We want to see how your skills align with our mission of integrating AI into our core infrastructure.
Showcase Your Projects: Include specific examples of projects where you've integrated third-party AI APIs or built intelligent workflows. This helps us understand your hands-on experience and problem-solving abilities in real-world scenarios.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your communication reflects your ability to collaborate effectively across functions.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at ParleyX
✨Know Your AI APIs
Familiarise yourself with the specific AI APIs mentioned in the job description, like OpenAI and Hugging Face. Be ready to discuss how you've integrated these or similar technologies in past projects, as this will show your hands-on experience.
✨Showcase Your Prompt Engineering Skills
Prepare examples of prompt engineering strategies you've used before. Think about how you can explain your approach to designing prompt chains and task-specific solutions, as this is a key responsibility for the role.
✨Demonstrate Collaboration
Since the role involves working across multiple functions, be prepared to share experiences where you've successfully collaborated with product, engineering, or operations teams. Highlight your communication skills and how they contributed to project success.
✨Emphasise Problem-Solving Mindset
Be ready to discuss specific challenges you've faced in previous roles and how you tackled them. This will showcase your problem-solving focus and delivery-oriented mindset, which are crucial for thriving in a fast-paced environment.