AI Engineer (AI + Data Platform AWS

End-to-end ownership of a modern AI platform powering external-facing digital experiences Establishment of best practices for AI integration, evaluation, and security Advancement of the organization toward agentic AI capabilities, with your team leading all related innovation and delivery

Tech Stack (Representative) AWS: Neptune, OpenSearch, DynamoDB, ElastiCache (Redis), IAM, CloudWatch Data: Databricks, Apache Spark AI: LLM integrations, embeddings, vector search, RAG pipelines Agentic/LLM Tooling: LangChain, LlamaIndex, LangGraph, AutoGen, CrewAI

5+ years of experience in software engineering, data engineering, or AI/ML engineering Strong proficiency in Python for AI/data workflows and automation Hands-on experience building solutions in AWS cloud environments Experience with: o Databricks (or similar) and Apache Spark for distributed data processing o OpenSearch / Elasticsearch (including vector search) o Graph databases (Neptune or similar) o DynamoDB and Redis/ElastiCache Experience building backend services and APIs (e.g., Java/Spring Boot, Node.js) Production experience with Docker and Kubernetes Experience with CI/CD pipelines and deployment automation Strong understanding of distributed systems, data architecture, and scalable design

Preferred Qualifications Experience with LLM/AI architectures (RAG, embeddings, prompt engineering) Familiarity with LangGraph, AutoGen, CrewAI, or similar agent orchestration frameworks Experience with LangChain or LlamaIndex Experience implementing LLM evaluation and observability frameworks Familiarity with AI security practices and threat models (prompt injection, guardrails) Experience working in regulated environments with strong data governance and compliance requirements