Senior AI Engineer

Job Description Must have Technical skills: 5+ years of experience in software engineering, data engineering, or AI/ML engineeringStrong proficiency in Python for AI/data workflows and automationHands-on experience building solutions in AWS cloud environmentsExperience with: Databricks (or similar) and Apache Spark for distributed data processingOpenSearch / Elasticsearch (including vector search)Graph databases (Neptune or similar)DynamoDB and Redis/ElastiCacheExperience building backend services and APIs (e.g., Java/Spring Boot, Node.js)Production experience with Docker and KubernetesExperience with CI/CD pipelines and deployment automationStrong 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 frameworksExperience with LangChain or LlamaIndexExperience implementing LLM evaluation and observability frameworksFamiliarity 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, CloudWatchData: Databricks, Apache SparkAI: LLM integrations, embeddings, vector search, RAG pipelinesAgentic/LLM Tooling: LangChain, LlamaIndex, LangGraph, AutoGen, CrewAIBackend: APIs, microservices (e.g., Spring Boot, Node.js)DevOps: Docker, Kubernetes, CI/CD, Infrastructure as Code Salary Range: $90,000 - $150,000 a year