Senior AI Engineer

Must have Technical skills:

• 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:
  • Databricks (or similar) and Apache Spark for distributed data processing
  • OpenSearch / Elasticsearch (including vector search)
  • Graph databases (Neptune or similar)
  • DynamoDB and Redis/ElastiCache
• Experience building backend services and APIs (e.g. Java/Spring Boot )
• 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/GenAI 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

Tech Stack

• 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 )
• DevOps: Docker Kubernetes CI/CD Infrastructure as Code