Agentic AI Python Engineer — RAG & Vertex AI Specialist

BeaconFire Inc.; Dallas (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

Beaconfire is actively hiring an Agentic AI Python Developer to build production-ready RAG systems using Vertex AI, vector databases, and graph databases. You will own end-to-end delivery from ingestion to deployment, collaborating with a team on high-impact web applications using Python, Flask, Django and related tech.

Preferred candidates have experience with LangChain/LangGraph, vector search, cloud services (AWS/GCP), and strong testing and documentation habits.

Qualifications

• Experience in Python3 software development and testing lifecycle.
• Knowledge of relational databases (MySQL, PostgreSQL, etc.).
• Experience building RAG solutions and vector search systems.
• Familiar with agentic frameworks and tool calling patterns.
• Experience with cloud services (AWS) and Vertex AI fundamentals.
• Strong engineering practices: code reviews, telemetry, secure-by-design.

Responsibilities

• Design and develop high quality web applications using Python, Flask, Django.
• Implement RAG pipelines on Vertex AI including embeddings and indexing.
• Build agentic workflows for tool use, planning, and grounding.
• Own end-to-end delivery: ingestion, retrieval, orchestration, evaluation, deployment.
• Write tests, perform code reviews, and create technical documentation.
• Ship APIs with monitoring, observability, CI/CD, and security best practices.

Skills

Python3

Relational databases

Git

RAG solutions

Vertex AI

LangChain / LangGraph

Vector databases

API development

Testing & code reviews

Cloud platforms (GCP/AWS)

Education

Master's Degree in Computer Science, Software Engineering, or related field

Tools

Vertex AI

Google Cloud

Flask

Django

React/Next.js

Git

Pub/Sub / Kafka

Document AI

LangChain / LangGraph

LlamaIndex / Semantic Kernel / AutoGen

Job description

Beaconfire is actively hiring an Agentic AI Python Developer to build production-ready RAG systems using Vertex AI, vector databases, and graph databases. You will own end-to-end delivery from ingestion to deployment, collaborating with a team on high-impact web applications using Python, Flask, Django and related tech.

Preferred candidates have experience with LangChain/LangGraph, vector search, cloud services (AWS/GCP), and strong testing and documentation habits.