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Social Network Engineer (AI Engineer)

Work from home Full-time role Hiring

We’re not here to waste your time. Read this carefully and only apply if you’re ready to do real work that matters.

What the job entails

  • You’ll be part of a team that will design and implement the backend and intelligence layer of our AI-managed merchant network. This isn’t a forum plugin or a skin on top of a chat app.
  • We’re designing a social fabric from scratch: matching merchants based on complementary offerings, shared pain points, and potential collaborations, then giving them the tools to grow together.
  • Your main tasks

  • Architect and build a system to ingest merchant data (business category, geography, scale, needs).
  • Create agent-driven match-making and recommendation pipelines.
  • Develop moderation agents that guide discussions, keep quality high, and eliminate noise or abuse.
  • Integrate LLMs to facilitate onboarding, message summarization, semantic clustering, and auto-responses.
  • Build and evolve internal protocols for autonomous agent behavior, governance, and feedback loops.
  • Collaborate with frontend teams to create seamless user interactions with underlying intelligence.
  • Ship prototypes quickly, iterate based on feedback, and move toward scalable systems.
  • Technologies / techniques used

  • Python (mandatory)
  • LLM ecosystems (OpenAI, Anthropic, open models)
  • LangChain, LangGraph or custom orchestration frameworks
  • Vector databases (Weaviate, Pinecone, PGVector)
  • NLP and recommendation techniques (semantic search, user embeddings, graph-based recs)
  • Moderation tooling (toxicity filters, content classifiers)
  • GCP (preferred), Docker, CI/CD pipelines
  • What you'll do

  • Design, build, and maintain scalable and reliable artificial inteligence infrastructure.
  • Deploy and monitor AI systems for real-time inference.
  • Develop and maintain robust REST APIs for our AI services.
  • Write clean, maintainable, and well-tested production code.
  • Optimize and improve the performance of our AI systems.
  • Stay up-to-date with the latest technologies and best practices in machine learning and AIOps.
  • What you'll need

  • Experience building real-time or asynchronous communication systems.
  • Strong Python engineering skills and ability to deploy scalable services.
  • Experience integrating LLMs into production environments.
  • Understanding of graph-based systems, user recommendation, or matchmaking logic.
  • Comfort building autonomous agents that act with minimal oversight.
  • Portuguese and English fluency. This system will handle data from and interact with Brazilian merchants daily.
  • Solid collaboration and product instincts. You can shape from zero with ambiguous specs.
  • Nice to have

  • Experience with social network dynamics, either through product work or research.
  • Familiarity with community moderation tools, filters, or governance frameworks.
  • Prior work on user embeddings or behavior-based clustering.
  • Full-stack experience – you won’t build UI, but understanding it helps.
  • Previous experience or openness to learn Elixir
  • Recruiting process outline

  • Technical case – explore a dataset of merchants and propose an intelligent recommendation approach.
  • Interview – discuss architecture, agent design, and AI deployment experience.
  • Cultural interview – alignment on autonomy, speed, and expectations.
  • If you are not willing to work on a test case, do not apply.
  • Additional Information

    Diversity and inclusion:

    We believe in social inclusion, respect, and appreciation of all people. We promote a welcoming work environment, where each CloudWalker can be authentic, regardless of gender, ethnicity, race, religion, sexuality, mobility, disability, or education.

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