About the Job:
We are a leading trading platform ambitiously expanding globally. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience, and we are always in search of the best talent to join our ever-growing team.
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We are forming a brand-new AI department and need a first-on-the-ground engineer who can rapidly turn innovative LLM ideas into working demos and educate our team on the importance of automation.
Responsibilities:
- Prompt Engineering & Orchestration: Craft, iterate, and optimize prompts for APIs (OpenAI, Cohere, Anthropic). Build multi-step chains using LangChain, LlamaIndex, or custom controllers.
- Vector Search & Retrieval: Implement retrieval-augmented workflows by ingesting documents, indexing embeddings (Pinecone, FAISS, Weaviate), and building similarity search features.
- Rapid Prototyping: Create interactive AI demos and proofs-of-concept using 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 tools 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 skills and the 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: Your skills will be rewarded with a salary that reflects your value.
- Work-Life Harmony: We value your life outside of work just as much as your time in the office.
- Annual Performance Bonus: Recognizing your achievements with a well-deserved bonus.
- Generous Time Off: Our annual leave policy allows you to recharge and enjoy life outside of work.
- Employee Referral Program: Bring your talented friends on board and get rewarded for your contributions to our team.
- Comprehensive Health Benefits: A robust medical insurance plan with location-specific benefits and perks.
- Workation Wonderland: An opportunity to work remotely from anywhere in the world for 30 extra days annually (some restrictions apply).
- Volunteer Days: Additional paid days to support causes you care about.
Join us at the forefront of the digital assets movement, propelling your career to new heights in a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity.
