Data Scientist (LLM & Agentic AI)
Core
Design, develop, and deploy production-grade machine learning and generative AI solutions, specifically focusing on Large Language Models (LLMs), agentic workflows, and RAG systems.
Role type
Senior IC Data Scientist (LLM & Agentic AI)
Builds
Intelligent AI solutions, autonomous/semi-autonomous agents, scalable data pipelines, and AI services on AWS.
Domain
Legal, tax, accounting, compliance, government, and media (Thomson Reuters)
Deliverable
production ML models
Required skills
Python, Large Language Models (LLMs), RAG systems, vector databases, prompt engineering, agentic frameworks (LangGraph, LangChain, CrewAI), AWS cloud services, MLOps, model evaluation, system design
Preferred skills
Open-source AI contributions, technical publications, knowledge graph integration, multi-agent systems, advanced retrieval techniques
Technologies
AWS (SageMaker, Lambda, ECS/EKS, Bedrock, S3, API Gateway), Docker, CI/CD, MLflow, Airflow, Pinecone, Weaviate, Chroma, FAISS, OpenSearch, LangGraph, LangChain, CrewAI
Responsibilities
Design and deploy ML/GenAI solutions into production; build and optimize LLM applications with RAG and tool calling; develop autonomous AI agents; fine-tune and benchmark language models; build scalable data pipelines; implement monitoring, observability, and cost optimization; collaborate on productionizing ML solutions.
Seniority
Mid-Senior, hands-on IC