Agentic AI Engineer - Python, RAG & Vector DBs

BeaconFire Inc.

Austin (TX)

On-site

USD 110,000 - 160,000

Full time

4 days ago
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Job summary

BeaconFire Inc. in Austin invites applicants for an Agentic AI Python Developer role to build high-impact AI-powered web applications using Python, Flask, Django, and modern cloud technologies.

You will own end-to-end delivery of RAG pipelines, vector and graph databases, agent orchestration, evaluation, and deployment, ensuring scalable, reliable software. This position emphasizes collaboration, code quality, and staying current with emerging AI tooling, including LangChain, Vertex AI, and

Qualifications

  • Experience building Python web apps with Flask or Django.
  • Experience with RAG solutions and vector search technologies.
  • RESTful API development in Python.
  • Familiarity with cloud services and Vertex AI / GCP basics.
  • Knowledge graphs for RAG and tooling patterns.

Responsibilities

  • Collaborate to design and develop high-quality Web applications using Python, Flask, Django.
  • Write clean, efficient code with maintainability and reusability.
  • Design and implement RAG pipelines on Google Cloud / Vertex AI, including embeddings and indexing.
  • Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs).
  • Perform code reviews and testing to ensure quality and reliability.
  • Ship APIs, monitoring, and CI/CD with security best practices.

Skills

Python
Flask
Django
RAG pipelines
Vector DBs
Graph DBs
API development
CI/CD
Knowledge graphs
Tool calls
LangChain
Vertex AI
GCP
Code reviews

Education

Master's Degree in Computer Science or related field

Tools

Git
AWS
Vertex AI
GCP
LlamaIndex

Job description

BeaconFire Inc. in Austin invites applicants for an Agentic AI Python Developer role to build high-impact AI-powered web applications using Python, Flask, Django, and modern cloud technologies.

You will own end-to-end delivery of RAG pipelines, vector and graph databases, agent orchestration, evaluation, and deployment, ensuring scalable, reliable software. This position emphasizes collaboration, code quality, and staying current with emerging AI tooling, including LangChain, Vertex AI, and

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