AI Product And Research Engineer

Full Description

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.

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!