As an AI Product & Research Engineer, you will create AI prototypes, optimize prompts for APIs, implement MLOps, and collaborate with cross-functional teams.
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. #LI-Hybrid
- 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.
Top Skills
Anthropic
Apache Airflow
Cohere
Docker
Faiss
Fastapi
Gitlab Actions
Gradio
Kubernetes
Langchain
Llamaindex
Mlflow
MongoDB
Next.Js
Openai
Pinecone
Postgres
Python
Redis
Streamlit
Typescript
Weaviate
Similar Jobs
Fintech • Legal Tech • Software • Financial Services • Cybersecurity • Data Privacy
The Escrow Business Compliance Analyst manages client onboarding for escrow deals, ensures compliance with KYC regulations, and oversees transaction setup and documentation.
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
The role involves developing microservices primarily in Golang, maintaining code quality, deploying applications, and collaborating with team members in a hybrid work environment.
Top Skills:
Ci/CdGoHelmK8SPythonSQL
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
The Product Innovation Manager will lead development of new payment products, engage in idea generation, and partner with teams for market testing and validation.
Top Skills:
Business Model InnovationData-Driven TechnologiesPayments Acceptance EcosystemStablecoin
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
