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Bold Business logo
Bold Business

Building a better world.

Python Developer – AI Automation, Full Stack

Backend EngineerSoftware EngineerFull TimeRemoteMid LevelTeam 201-500Since 2016H1B No SponsorCompany SiteLinkedIn

Location

Philippines

Posted

26 days ago

Salary

0

Seniority

Mid Level

Bachelor Degree2 yrs expExperience acceptedEnglishAWSCloudDockerJavaScriptPythonReactSQLSvelteVue.js

Job Description

Python Developer – AI Automation, Full Stack

Bold Business

• Build full stack web applications that solve real client problems • Design and maintain system integrations — connecting APIs, databases, webhooks, and third-party platforms • Write automation workflows that are scalable, repeatable, and maintainable • Contribute to architecture decisions, not just execute tickets • Debug across the full stack including integrations and data pipelines • Translate technical decisions clearly to non-technical stakeholders — both written and verbal • Participate in client-facing communications and documentation in professional English

Job Requirements

  • Advanced to fluent English — written and spoken; this is non-negotiable for an offshore hire
  • Ability to explain technical concepts clearly to non-technical stakeholders (clients, PMs, business owners)
  • Professional written communication: emails, Slack messages, documentation, and status updates must be clear and polished
  • Comfort on video calls and async communication with a U.S.-based team
  • 2–4 years of hands-on development — CS degree, bootcamp, or self-taught with shipped projects and a GitHub that shows it
  • Python (Required) — demonstrated in real work: automation, scripting, backend logic, or data pipelines
  • JavaScript (Required) — ES6+, async/await, REST API consumption; you can build and read it confidently
  • HTML & CSS (Required) — semantic HTML5, responsive layouts; you can build and maintain UI without a framework if needed
  • SQL & Database Fundamentals (Required) — write queries, design schemas, understand relational vs. non-relational trade-offs
  • System integrations — connecting platforms via APIs, webhooks, or third-party services, with solid grasp of auth, error handling, and data contracts
  • Git — branching, PRs, code reviews; you work cleanly in a team repository
  • Active use of AI-assisted coding tools (Cursor, GitHub Copilot, or similar) in your day-to-day workflow — not optional
  • Working knowledge of LLM APIs (OpenAI, Anthropic, or Groq) — calling endpoints, structuring prompts, parsing responses
  • Understanding of prompt engineering basics: system prompts, few-shot examples, temperature, and output formatting
  • Familiarity with tool/function calling patterns — how LLMs invoke external tools or APIs to take actions
  • Nice to Have: Automation platforms: Zapier, Make, or n8n — ideally built for real use cases, not just experiments
  • Agentic framework experience: LangChain, LangGraph, AutoGen, or CrewAI
  • Vector databases or RAG pipelines (Pinecone, Chroma, Weaviate) — even at a prototype level
  • Memory and state management patterns for long-running AI agents
  • PowerBI or data visualization experience
  • Docker, CI/CD, or cloud (AWS) experience
  • Low-code platform experience (OutSystems or similar)
  • React or a modern frontend framework (Vue, Svelte)

Benefits

  • Bold Business is an equal opportunity employer.

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