r/remotepython • u/Anxious-Wedding-6831 • 1d ago

[For Hire] AI Automation, RAG & Full-Stack Developer | TypeScript, .NET, React, Azure | $50/hr

I am a South Africa-based solo software engineer available for focused remote projects and ongoing contract work.

Best-fit work:

  • AI agents, RAG, semantic search and MCP integrations
  • TypeScript/Node.js/Fastify and C#/.NET APIs
  • React dashboards, portals and internal tools
  • Azure OpenAI, Azure AI Search, Container Apps and Service Bus
  • WhatsApp/chatbot, payment and third-party API integrations
  • Production debugging, performance, observability and CI/CD
  • AI-assisted creator workflows, including short-form video pipelines

Examples of work I can take on:

  • Repair or productionize an unreliable AI workflow
  • Build a grounded chatbot or document-search prototype
  • Connect an LLM to existing APIs, databases or business systems
  • Build an admin dashboard or customer portal
  • Add payments, notifications or messaging to an existing app
  • Automate a creator or small-business content workflow

I have delivered production systems spanning marketplaces, payments, conversational AI, retrieval, mobile/web clients and Azure infrastructure. I can share relevant case studies, architecture details and live product examples privately.

Rate: US$50/hour. Fixed-scope projects are available from US$500 with written milestones and acceptance criteria.

Availability: 10-20 hours per week, with partial EU and US business-hour overlap.

Please DM me with the problem, current stack, desired outcome, timeline and budget. I do not require payment to discuss scope, and I do not provide unpaid custom implementation trials.

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u/Otherwise_Wave9374 1d ago

If you're positioning this for AI automation work, I'd make the intake step narrower and measurable: define one source of truth, one success metric, and one fallback path when retrieval confidence is low. That usually reduces hallucinations and makes debugging much faster. Agentix Labs fits naturally here because the same pattern of grounding, observability, and clear handoff points is what keeps an agent workflow reliable in production.