React Developer with AI / Full Stack AI Engineer
Experience: 6+ Years
Location: Dallas, TX/Tampa, FL/ Basking Ridge, NJ
Must Have Skills
- 6+ years of professional software development experience across frontend and backend technologies.
- Strong proficiency in React, Python, and Node.js.
- Minimum 2 years of hands-on experience with Graph Databases (Spanner Graph, Neo4j, or similar), including schema design and query development.
- Strong experience with Google Cloud Platform (GCP), including:
- Vertex AI
- Cloud Run
- BigQuery
- Pub/Sub
- Load Balancer
- Google Cloud Storage (GCS)
- Experience with Elasticsearch for full-text and hybrid search, including index design, mappings, and Query DSL.
- Strong SQL skills (BigQuery / Cloud SQL) and working knowledge of vector databases such as Vertex AI Vector Search, pgvector, or Pinecone.
- Solid understanding of RAG (Retrieval-Augmented Generation) architectures, including chunking, embeddings, vector search, reranking, deduplication, and retrieval evaluation.
- Experience integrating and consuming LLM APIs (Vertex AI/Gemini, OpenAI, Anthropic), including function calling, streaming, and structured outputs.
- Understanding of Graph RAG concepts and experience implementing at least one production-grade Graph RAG solution.
- Hands-on experience with LangGraph, including state machines, multi-agent workflows, tool nodes, and human-in-the-loop patterns.
- Experience using Galileo for LLM evaluation, hallucination detection, and RAG quality monitoring.
Technology Stack
Frontend & Backend
- React
- TypeScript
- Python
- Node.js
- FastAPI
- PostgreSQL / Cloud SQL
- Docker
- Cloud Run
Graph & Data
- Spanner Graph
- Neo4j
- Memgraph
- Cypher
- Elasticsearch
- pgvector
- Pinecone
- Vertex AI Vector Search
AI & Retrieval
- Vertex AI / Gemini
- OpenAI APIs
- Anthropic APIs
- LangGraph
- LangChain
Evaluation & Observability
- Galileo
- Google Cloud Logging
- Cloud Monitoring
Cloud
- Google Cloud Platform (GCP)
- Vertex AI
- BigQuery
- GCS
- Cloud Run