AI / ML Engineer
Core
Design and implement enterprise-scale RAG pipelines and build intelligent AI applications leveraging structured and unstructured enterprise data.
Role type
Senior AI/ML Engineer (RAG & Multimodal)
Builds
Intelligent AI applications, semantic search solutions, multimodal AI systems
Domain
Financial services & technology consulting
Deliverable
production ML models
Required skills
Python, RAG pipeline design, vector databases, semantic search, prompt engineering, multimodal AI, LLMs, AWS Bedrock, LangChain, MLOps
Preferred skills
Agentic AI concepts, LangGraph, multi-agent architectures
Technologies
Pinecone, Weaviate, Milvus, Chroma, OpenSearch, Amazon Bedrock, LangChain, AWS
Responsibilities
Design and implement enterprise-scale RAG pipelines; Build and optimize semantic search solutions using vector databases; Develop multimodal AI applications; Create and optimize prompts for LLM performance; Develop data ingestion, chunking, embedding, retrieval, and ranking strategies; Evaluate and improve AI solution quality, accuracy, and latency
Seniority
Senior, hands-on IC