Social Network Engineer (AI Engineer)

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.