AI/ML Engineer
Core
Building context-aware LLM applications, RAG systems, and MLOps pipelines for financial intelligence.
Role type
Associate AI/ML Engineer (LLM & RAG focus)
Builds
LLM-based applications, RAG systems, MLOps pipelines, and AI playground notebooks
Domain
Financial technology, Large Language Models, Retrieval-Augmented Generation
Deliverable
production ML models
Required skills
Python, LangChain, LlamaIndex, Vector databases, Prompt engineering, AWS (S3, Lambda, Glue), MLOps, Embedding models, Fine-tuning strategies
Preferred skills
Experience with orchestration tools (Airflow, Dagster), Knowledge graphs, Finance domain knowledge
Technologies
LangChain, LlamaIndex, Mistral, LLaMA 3, HuggingFace Transformers, Weaviate, FAISS, Pinecone, AWS, Airflow, Dagster
Responsibilities
Assist in building context-aware LLM applications, Implement and evaluate RAG systems, Run R&D experiments on embedding models and fine-tuning, Contribute to MLOps pipelines, Design and test prompt engineering strategies, Collaborate with backend and data teams to integrate AI solutions
Seniority
Associate, hands-on IC