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
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.