AI Product & Research Engineer
AI Product & Research Engineer

AI Product & Research Engineer

Full-Time 36000 - 60000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Join our new AI department to create innovative prototypes and demos.
  • Company: Leading trading platform with a global reach and award-winning products.
  • Benefits: Competitive salary, generous time off, health benefits, and remote work options.
  • Why this job: Be at the forefront of AI technology and make a real impact in a dynamic team.
  • Qualifications: Master’s in AI/Computer Science and hands-on experience with LLM APIs.
  • Other info: Enjoy work-life harmony and opportunities for personal growth and community involvement.

The predicted salary is between 36000 - 60000 ÂŁ per year.

Capital.com is a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. We’re spinning up a brand-new AI department and need a first-on-the-ground engineer who can turn wild LLM ideas into working demos overnight, teach everyone around you why automation matters, and have fun doing it. If you can ship Python or TypeScript prototypes, keep reading.

Responsibilities

  • Prompt Engineering & Orchestration: Craft, iterate, and optimize prompts for APIs (OpenAI, Cohere, Anthropic). Build multi-step “chains” using LangChain, LlamaIndex, or custom controllers. Develop and maintain AI microservices using Docker, Kubernetes, and FastAPI, ensuring smooth model serving and error handling.
  • Vector Search & Retrieval: Implement retrieval-augmented workflows: ingest documents, index embeddings (Pinecone, FAISS, Weaviate), and build similarity search features.
  • Rapid Prototyping: Create interactive AI demos and proofs-of-concept with Streamlit, Gradio, or Next.js for stakeholder feedback.
  • MLOps & Deployment: Implement CI/CD pipelines (GitLab Actions, Apache Airflow), experiment tracking (MLflow), and model monitoring for reliable production workflows.
  • Cross-Functional Collaboration: Participate in code reviews, architectural discussions, and sprint planning to deliver features end-to-end.

Requirements

  • Master’s degree in AI and/or Computer Science.
  • Hands-on experience integrating LLM APIs (e.g., OpenAI, Hugging Face Inference).
  • Practical experience fine-tuning LLMs via OpenAI, HuggingFace or similar APIs.
  • Strong proficiency in Python.
  • Deep expertise in prompt engineering and tooling like LangChain or LlamaIndex.
  • Proficiency with vector databases (Pinecone, FAISS, Weaviate) and document embedding pipelines.
  • Proven rapid-prototyping skills using Streamlit or equivalent frameworks for UI demos.
  • Familiarity with containerization (Docker) and at least one orchestration/deployment platform.
  • Excellent communication and ability to frame AI solutions in business terms.

Nice-to-Have

  • Familiarity with database systems (PostgreSQL, MongoDB) and caching layers (Redis).
  • Open-source contributions or published AI demos.
  • Understanding of cost-optimization, monitoring for LLM usage and model-API trade-offs.
  • Familiarity with prompt engineering best practices and “vibe-coding” tools (e.g., GitHub Copilot, Cursor IDE).
  • Willingness to travel occasionally for team offsites or workshops.

What you will get in return

  • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated.
  • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock.
  • Annual Performance Bonus: Your hard work doesn’t go unnoticed! Celebrate your achievements with a well-deserved annual bonus tied to your performance.
  • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
  • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
  • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got you covered. Plus, location-specific benefits and perks.
  • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
  • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.

Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.

AI Product & Research Engineer employer: capital.com

At Capital.com, we pride ourselves on being an exceptional employer that champions innovation and creativity in the rapidly evolving field of AI. Our vibrant work culture fosters collaboration and personal growth, offering competitive salaries, generous time off, and unique benefits like 30 extra days for remote work from anywhere in the world. Join us in our mission to redefine trading technology while enjoying a supportive environment that values your contributions and well-being.
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Contact Detail:

capital.com Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Product & Research 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 put in a good word for you.

✨Tip Number 2

Show off your skills! Create a portfolio of your projects, especially those related to AI and rapid prototyping. Demos using Streamlit or Gradio can really make you stand out and give hiring managers a taste of what you can do.

✨Tip Number 3

Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI. Be ready to discuss your experience with prompt engineering and LLMs, as well as how you can contribute to the team at Capital.com.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our awesome team at Capital.com.

We think you need these skills to ace AI Product & Research Engineer

Prompt Engineering
API Integration
Python
TypeScript
LangChain
LlamaIndex
Docker
Kubernetes
FastAPI
Vector Databases
Pinecone
FAISS
Weaviate
Streamlit
Gradio
CI/CD Pipelines
GitLab Actions
Apache Airflow
MLflow
Communication Skills

Some tips for your application 🫡

Show Off Your Skills: When you're writing your application, make sure to highlight your hands-on experience with LLM APIs and rapid prototyping. We want to see how you can turn those wild ideas into reality, so don’t hold back!

Tailor Your Application: Make your application stand out by tailoring it to the job description. Use keywords from the posting, like 'prompt engineering' and 'MLOps', to show us you’re the perfect fit for our new AI department.

Be Clear and Concise: Keep your application clear and to the point. We appreciate a well-structured application that gets straight to the good stuff—your skills and experiences that align with what we’re looking for.

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 this exciting opportunity in our growing team.

How to prepare for a job interview at capital.com

✨Know Your Tech Inside Out

Make sure you’re well-versed in the technologies mentioned in the job description, like Python, TypeScript, and the various LLM APIs. Brush up on your prompt engineering skills and be ready to discuss how you've used tools like LangChain or LlamaIndex in past projects.

✨Showcase Your Prototyping Skills

Prepare to talk about your rapid prototyping experience. Bring examples of interactive AI demos or proofs-of-concept you've created using frameworks like Streamlit or Gradio. If possible, have a demo ready to show off during the interview!

✨Understand the Business Impact

Be ready to explain how your technical skills can translate into business value. Think about how automation and AI solutions can improve processes or enhance user experiences. This will show that you can frame your work in terms that resonate with stakeholders.

✨Collaborate and Communicate

Highlight your experience in cross-functional teams. Discuss how you’ve participated in code reviews or architectural discussions. Good communication is key, so practice articulating your thoughts clearly and confidently, especially when discussing complex AI concepts.

AI Product & Research Engineer
capital.com

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