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 experiences. We are spinning up a brand-new AI department and need a pioneering engineer who can turn innovative LLM ideas into working demos overnight, educate others on the importance of automation, and enjoy the process.
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Responsibilities:
- Prompt Engineering & Orchestration: Craft, iterate, and optimize prompts for APIs (OpenAI, Cohere, Anthropic) and build multi-step “chains” using LangChain, LlamaIndex, or custom controllers.
- 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 skills 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: Your skills will be rewarded with a salary that reflects your worth.
- Work-Life Harmony: We genuinely care about your life outside of work.
- Annual Performance Bonus: Celebrate achievements with a bonus tied to performance.
- Generous Time Off: Recharge with a flexible annual leave policy.
- Employee Referral Program: Bring your talented friends onboard and get rewarded.
- Comprehensive Health Benefits: Enjoy medical insurance and location-specific perks.
- Workation Wonderland: Benefit from 30 extra days to work remotely from anywhere.
- Volunteer Days: Take two additional paid days each year to support causes you care about.
Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Be a key player at the forefront of the digital assets movement, propelling your career to new heights!
