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capital.com

AI Product & Research Engineer

London Full-Time 30000 - 60000 £ / year (est.) Home office (partial)

Apply now

At a Glance

Tasks: Join us to innovate AI products and create prototypes that wow stakeholders.
Company: Capital.com is a leading trading platform known for its award-winning technology and client experience.
Benefits: Enjoy competitive pay, generous time off, remote work options, and comprehensive health benefits.
Why this job: Be part of a dynamic team shaping the future of AI in a fun, collaborative environment.
Qualifications: Master’s degree in AI or Computer Science; strong Python skills and experience with LLM APIs required.
Other info: Opportunity for travel and volunteer days to support causes you care about.

The predicted salary is between 30000 - 60000 £ per year.

Join to apply for the AI Product & Research Engineer role at Capital.com

We are 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 (e.g., 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 your back. 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.

Seniority level

Seniority level

Not Applicable

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

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Research Engineer, ML, AI & Computer Vision

London, England, United Kingdom 7 hours ago

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AI Product & Research Engineer employer: capital.com

At Capital.com, we pride ourselves on being an exceptional employer that champions innovation and creativity within a vibrant work culture. Our commitment to employee well-being is reflected in our competitive salary packages, generous time off, and unique benefits like 30 extra days for remote work, allowing you to balance your professional and personal life seamlessly. Join us in London and be part of a dynamic team that not only values your contributions but also invests in your growth and development as we lead the charge in the digital assets movement.

Contact Detail:

capital.com Recruiting Team

View capital.com Profile

StudySmarter Expert Advice 🤫

We think this is how you could land AI Product & Research Engineer

✨Tip Number 1

Familiarise yourself with the latest advancements in AI and LLMs. Being well-versed in current trends and technologies will not only help you during interviews but also demonstrate your passion for the field.

✨Tip Number 2

Engage with the AI community through forums, webinars, or local meetups. Networking can provide valuable insights and connections that may lead to opportunities at Capital.com or similar companies.

✨Tip Number 3

Showcase your rapid prototyping skills by creating a portfolio of interactive demos using tools like Streamlit or Gradio. This hands-on evidence of your capabilities can set you apart from other candidates.

✨Tip Number 4

Prepare to discuss how you've framed AI solutions in business terms in past projects. Capital.com values communication skills, so being able to articulate the impact of your work is crucial.

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

Prompt Engineering

API Integration

Python Programming

TypeScript Prototyping

LangChain

LlamaIndex

Docker

Kubernetes

FastAPI

Vector Databases (Pinecone, FAISS, Weaviate)

Document Embedding Pipelines

Streamlit

Gradio

Next.js

CI/CD Pipelines (GitLab Actions, Apache Airflow)

Experiment Tracking (MLflow)

Model Monitoring

Cross-Functional Collaboration

Excellent Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in AI, Python, and prompt engineering. Use keywords from the job description to demonstrate that you meet the specific requirements of the AI Product & Research Engineer role.

Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your skills align with the responsibilities outlined in the job description. Mention any specific projects or experiences that showcase your ability to prototype and work with LLM APIs.

Showcase Your Projects: Include links to any relevant projects or demos you've created, especially those involving rapid prototyping or AI microservices. This will give the hiring team a tangible sense of your capabilities and creativity.

Prepare for Technical Questions: Anticipate technical questions related to your experience with tools like Docker, Kubernetes, and CI/CD pipelines. Be ready to discuss your approach to problem-solving and how you would tackle challenges in AI product development.

How to prepare for a job interview at capital.com

✨Showcase Your Prototyping Skills

Be prepared to discuss your experience with rapid prototyping, especially using tools like Streamlit or Gradio. Bring examples of your previous work or demos that highlight your ability to turn ideas into functional prototypes quickly.

✨Demonstrate Your Prompt Engineering Expertise

Since the role involves prompt engineering, be ready to explain your approach to crafting and optimising prompts for APIs. Discuss any specific projects where you successfully implemented prompt engineering techniques.

✨Familiarise Yourself with Relevant Technologies

Brush up on your knowledge of Docker, Kubernetes, and FastAPI, as well as vector databases like Pinecone or FAISS. Being able to speak confidently about these technologies will show that you're well-prepared for the technical aspects of the role.

✨Communicate AI Solutions Effectively

The ability to frame AI solutions in business terms is crucial. Practice explaining complex AI concepts in a way that non-technical stakeholders can understand, as this will demonstrate your communication skills and understanding of the business impact of your work.

AI Product & Research Engineer

London

Full-Time

30000 - 60000 £ / year (est.)

Apply now

Application deadline: 2027-07-15
capital.com

View capital.com Profile

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