Job Title: AI Engineer – Financial Market (RAG / LLM Systems)
Location: Remote
Job Description: We are seeking a talented AI Engineer to architect, develop, and deploy a Retrieval-Augmented Generation (RAG) system for crypto and finance-related user queries. This role involves integrating live data sources, deploying and fine-tuning local Large Language Models (LLMs), and collaborating with developers to integrate AI services into app frontends.
Key Responsibilities:
- Develop and deploy RAG systems for financial market research.
- Integrate live data sources from APIs (Twitter, News, Crypto Market Data).
- Deploy and fine-tune local LLMs (e.g., LLaMA2, Mistral).
- Build or integrate agent frameworks for multi-step reasoning and data gathering.
- Develop custom output formatting pipelines for reports and charts.
- Ensure low-latency, scalable performance for real-time queries.
- Collaborate with mobile/web developers for seamless integration.
Qualifications:
- 5+ years of experience in Machine Learning, AI Systems Engineering, or Backend Engineering.
- Strong experience with LLM hosting and deployment (e.g., Hugging Face Transformers).
- Deep understanding of RAG workflows and frameworks (e.g., LangChain).
- Proficient in Python (FastAPI/Django preferred).
- Experience with vector databases (e.g., FAISS, Chroma).
- Familiarity with AWS environments (EC2, ECS, S3, SageMaker).
- Fluent in English with excellent communication skills.
- Startup experience or entrepreneurial mindset.
Nice-to-Have Skills:
- Experience with financial markets and cryptocurrency ecosystems.
- Knowledge of charting libraries (e.g., SciChart, Plotly).
- Experience with lightweight LLM fine-tuning techniques (e.g., LoRA).
- Web scraping and building knowledge graphs.
