AI Product & Research Engineer

Work from home Full-time role Hiring

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 afirst-on-the-groundengineer 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.

Additional Information

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.

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AI Product & Research Engineer

Responsibilities

Requirements

Nice-to-have

What you will get in return

Additional Information

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