Position :Sr AI Engineer (AI + Data Platform AWS) : : Only
Location : Irvine CA (Onsite / Hybrid : 2-3 days/ week)
Type of Job : Contract : 12 Months
Experience : 10+ Years
Required Qualifications
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
What You ll Own / Impact
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
Backend: APIs, microservices (e.g., Spring Boot, Node.js)
DevOps: Docker, Kubernetes, CI/CD, Infrastructure as Code