LLM Engineer (RAG & Agentic AI)

VISA SPONSORSHIP IS NOT AVAILABLE. Remote contract. Work to be done 9-5 PST We are seeking an AI/ML Engineer to build enterprise-grade chatbots and intelligent assistants using state-of-the-art LLM technologies. The role focuses on finance data, RAG-based architectures, hallucination mitigation, and agentic AI systems deployed at scale. You will work closely with Product, Data, and Platform teams to deliver reliable, explainable, and production-ready AI solutions. What You’ll Do • Build LLM-powered chatbots using OpenAI, RAG, tool calling, and agent frameworks (LangChain, LangGraph) • Design Agent-to-Agent (A2A) architectures for multi-step reasoning and autonomous workflows • Design retrieval pipelines using vector databases • Implement hallucination reduction techniques: grounding, re-ranking, citations, confidence scoring • Work with finance and enterprise datasets ensuring accuracy and governance • Deploy and monitor AI systems using cloud-native and MLOps practices • Implement CI/CD for AI pipelines and inference services What We’re Looking For • Python, SQL • LLMs: OpenAI (GPT-4/4.1), Anthropic, Gemini, Llama • Agentic AI: LangGraph, LangChain, Agent-to-Agent (A2A) patterns • RAG & Search: embeddings, hybrid search, cross-encoders • Vector Databases • Evaluation & Observability: LangSmith, MLflow, Weights & Biases • Cloud: AWS (S3, Lambda, SageMaker, Bedrock) • Data: Snowflake, DBT, structured & unstructured data pipelines • Evaluation: prompt/version management, offline & online LLM evaluation Our Fortune Technology client is ranked as one of the best companies to work with, in the world. As a global leader in 3D design, engineering, and entertainment software, they foster a progressive culture, creativity, and a flexible work environment using cutting-edge technologies.