Python Developer – AI Automation, Full Stack
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Job Description
Python Developer responsible for full stack web applications and system integrations. Collaborating in AI projects to solve client problems at Bold Business.
Responsibilities:
- 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
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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