AI Engineer

Responsibilities: Own the evaluation, selection, and optimization of large language models to power a data insights platform. Responsible for building evaluation frameworks and implementing production-grade AI pipelines for legal and medical document analysis.

Requirements: Requires 5+ years of AI/ML engineering experience with a focus on deploying LLMs, RAG solutions, and agentic workflows in cloud environments. Must have a strong software engineering foundation and experience designing rigorous evaluation frameworks for high-stakes domains.

Key skills: LLM Evaluation, RAG Solutions, Embedding Models, Vector Databases, Agentic Workflows, AI Pipeline Optimization, Cloud Infrastructure, AWS, GCP, Software Engineering, Hallucination Detection, Model Benchmarking, Production Engineering, AI Research, Orchestration Frameworks, Observability

Keywords: AI Engineer, Large Language Models, LLM, RAG, Vector Databases, AWS, GCP, Medical Record Summarization, Legal Document Analysis, Agentic Workflows, Embedding Models, Hallucination Detection, Production Engineering, AI Research, Orchestration Pipelines, Model Benchmarking, Cloud Infrastructure, Observability, Data Insights, Analytics Platform, Software Engineering, MLOps, Fine-tuning, Case Chronology Generation, Drafting Support