Remote Python & GenAI Backend Engineer

CAI

Topeka (KS)

Remote

USD 120,000 - 160,000

Full time

4 days ago
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Benefits offered by this job

Remote work

Job summary

CAI seeks a Python/GenAI Developer to build and support AI-enabled enterprise applications. You will develop Python-based backend services, integrate Generative AI workflows, and design REST APIs using FastAPI. The role emphasizes secure, scalable cloud deployments on Google Cloud and collaboration with cross-functional stakeholders.

The position is remote and contract-based, with opportunities to impact complex systems and leverage cutting-edge AI tooling in a dynamic team.

Qualifications

  • Minimum 4-7 years of software development with strong Python backend experience.
  • 1-2 years of practical Generative AI and LLM-based applications experience.
  • Experience with REST APIs using Python frameworks and async processing.
  • Hands-on Google Cloud Platform experience including Vertex AI, Cloud Run, BigQuery.
  • Familiarity with Docker, CI/CD, containerization, and cloud deployment pipelines.
  • Proven ability to work in Agile teams and collaborate with cross-functional stakeholders.

Responsibilities

  • Design, develop, and maintain Python-based backend services and APIs for AI-enabled apps.
  • Build Generative AI workflows with LLMs, RAG, prompt orchestration, and structured outputs.
  • Develop FastAPI REST endpoints for file processing, pipelines, and external integrations.
  • Implement retrieval workflows using GCP services like Vertex AI and Cloud Run.
  • Process structured and unstructured data and ensure secure, scalable deployment.
  • Collaborate with architects and product owners to translate requirements into features.

Tools

FastAPI
Docker
Kubernetes
GitHub
Python
GCP

Job description

CAI seeks a Python/GenAI Developer to build and support AI-enabled enterprise applications. You will develop Python-based backend services, integrate Generative AI workflows, and design REST APIs using FastAPI. The role emphasizes secure, scalable cloud deployments on Google Cloud and collaboration with cross-functional stakeholders.

The position is remote and contract-based, with opportunities to impact complex systems and leverage cutting-edge AI tooling in a dynamic team.

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