Full-Stack Python & AI Solutions Engineer

Perform

Philippines

On-site

PHP 900,000 - 1,300,000

Full time

45 hours ago
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Job summary

Perform is seeking a hands‑on Python / AI Solutions Full‑Stack Developer to design, build, and deploy AI‑powered solutions for customers. You will work across the full delivery lifecycle, from understanding needs to production delivery, APIs, data workflows, and cloud deployments.

The ideal candidate moves quickly in a small team, connects AI capabilities with real‑world systems via APIs, MCP, and data workflows, and ships reliable, measurable outcomes.

Qualifications

  • Strong experience with Python and modern backend frameworks (FastAPI, Flask, Django).
  • Full‑stack development with JavaScript/TypeScript and frontend (React/Next.js/Vue).
  • Designing and integrating APIs with authentication and observability.

Responsibilities

  • Design, develop, and deploy Python AI applications and automation workflows.
  • Build full‑stack apps with backend services, frontend UI, and deployment pipelines.
  • Create, consume, and maintain REST/GraphQL APIs and integrations (OAuth, webhooks).
  • Develop MCP servers, tools, and workflows to connect AI with external apps/data sources.
  • Translate customer requirements into practical designs and production code.
  • Collaborate across product, engineering, and customer success in a small team.

Skills

Python
FastAPI/Flask/Django
JS/TS
React/Next.js/Vue
APIs & Auth
MCP integration
LLM APIs/Agent frameworks
Vector DBs / RAG
SQL / NoSQL
Git / Docker / CI/CD
Cloud deployment
Problem solving
Communication

Tools

Git
Docker
CI/CD

Job description

Perform is seeking a hands‑on Python / AI Solutions Full‑Stack Developer to design, build, and deploy AI‑powered solutions for customers. You will work across the full delivery lifecycle, from understanding needs to production delivery, APIs, data workflows, and cloud deployments.

The ideal candidate moves quickly in a small team, connects AI capabilities with real‑world systems via APIs, MCP, and data workflows, and ships reliable, measurable outcomes.

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