Senior AI Engineer

Job description

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, 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/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, Node.js)

DevOps

Docker, Kubernetes, CI/CD, Infrastructure as Code Salary Range: $90,000 - $150,000 a year #LI-AS3 </p