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Elite Software Engineer | AI Integrations, Agents & Automation

Budget
$25.0 - $90.0
Contract
HOURLY / FULL_TIME
Client
Canada · ★ 5.00 (20)
Live feed
Upwork

python, data-scraping

Preferred qualifications

  • Experience: Expert
  • English: Conversational
  • Job Success: 90%+
  • Rising Talent preferred
  • Min. earnings: $10,000+
We are hiring elite, quality-focused software engineers (top 5%) to build AI integrations, agents, automation, and the systems that support them. This is a long-term, full-time position built around AI-first, agentic development. Implementation will be driven by AI coding agents. Your job is to understand the problem, make sound architectural decisions, direct the agents, critically evaluate their work, and deliver a reliable final product. You can delegate work, but you cannot delegate responsibility. You own the correctness, security, performance, and maintainability of everything you ship, including code generated by AI. We value deep engineering ability across stacks such as Python, Ruby, JavaScript/TypeScript, Go, Rust, Java, C#, PostgreSQL, and MySQL. You should have substantial depth in one or more stacks and be comfortable learning and evaluating others. The key requirements would be: - Demonstrated AI experience: You have built and shipped AI integrations, agents, or automation, and can explain their architecture, tradeoffs, failure modes, and results. - Fluency with AI coding agents: You can translate requirements into clear tasks, provide useful context, coordinate implementation, and verify completion against concrete acceptance criteria. - Exceptional engineering judgment: You can read, understand, debug, and improve generated code; identify flawed assumptions; and maintain a coherent architecture as the system evolves. - A practical approach to reliability: You use appropriate tests, AI evaluations, and production monitoring. You account for unreliable model outputs, failed tool calls, external service failures, and recovery. - Maintainable software design: You produce clear, modular, appropriately decoupled systems and can distinguish useful abstractions from unnecessary complexity. - End-to-end ownership: You carry work from ambiguous requirements through deployment and ongoing operation, ask precise questions, and take responsibility for the outcome. To show you have read this full posting, start your cover letter with "Hugo de Garis". Experience with model training, fine-tuning, model serving, and deeper ML infrastructure is desirable.
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