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
  • Open Search / Elasticsearch (including vector search)
  • Graph databases (Neptune or similar)
  • Dynamo
    
    DB and Redis/Elasti Cache
• 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

• Experience with LLM/GenAI architectures (RAG, embeddings, prompt engineering)
• Familiarity with Lang Graph, Auto Gen, CrewAI, or similar agent orchestration frameworks
• Experience with Lang Chain or Llama Index
• 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

• AWS:
  Neptune, Open Search, Dynamo
  
  DB, Elasti Cache (Redis), IAM, Cloud Watch
• Data:
  Databricks, Apache Spark
• AI: LLM integrations, embeddings, vector search, RAG pipelines
• Agentic/LLM Tooling:
  Lang Chain, Llama Index, Lang Graph, Auto Gen, CrewAI
• Backend: APIs, microservices (e.g., Spring Boot, Node.js)
• Dev Ops:
  Docker, Kubernetes, CI/CD, Infrastructure as Code

Salary Range: $90,000 - $150,000 a year