Engineer

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 - $160,000 a year