Macro Digital Sales

Full-stack Engineer

• Fullstack Development: Build and evolve features on both the backend (APIs, integrations, business logic) and frontend (dashboards, operational flows, and user interfaces).
• Core Module Development: Work directly on core modules such as Campaign Engine, Customer Profile, Integration Hub, and Channel Orchestrator.
• Integrations: Develop and maintain integrations with external APIs (ERPs, WhatsApp, VOIP, payments, etc.), ensuring stability and scalability.
• API Design: Create well-defined APIs (REST/gRPC) with a focus on decoupling and inter-service communication.
• Data Modeling: Participate in defining and evolving data structures, ensuring consistency and performance.
• Functional Frontend: Build simple, efficient interfaces (manager dashboards, onboarding, operational flows), prioritizing usability and fast delivery.
• Observability and Debugging: Monitor logs, metrics, and system behavior to quickly identify and resolve issues.
• Code Quality: Write clean, testable, and scalable code, following good versioning and review practices.
• Collaboration: Work closely with backend, AI, product, and operations teams to ensure deliveries are aligned with business objectives.

Fullstack Developer Mid/Senior

AI Engineer

• Conversational Agent Development: Build and evolve AI agents for customer service, negotiation, and conversion across channels such as WhatsApp, voice, and webchat.
• LLM Orchestration: Implement flows using frameworks like LangGraph (or similar), managing context, memory, tools (tool calling), and conversation states.
• Prompt Engineering: Create, test, and optimize prompts for different scenarios (collections, sales, support), ensuring consistency and performance.
• Tool Integration: Connect agents to APIs and external systems (e.g., Pix payment generation, data lookup, CRM), enabling in-conversation actions.
• AI Quality Control: Monitor responses, prevent hallucinations, and ensure adherence to business rules.
• Personalization: Work with contextual data (customer profile, history, segmentation) to make interactions smarter and more effective.
• Experimentation: Run A/B tests on approaches, flows, and prompts, continuously improving agent performance.
• AI Observability: Track usage, cost, latency, and response quality metrics (LLM monitoring).
• Cost Optimization: Implement strategies to reduce cost per interaction (model selection, caching, fallbacks, etc.).
• Collaboration: Work closely with backend, product, and operations teams to ensure AI delivers real business impact.

Backend Engineer

• Backend Development: Design, develop and evolve APIs and services responsible for the platform's main flows.
• Core Module Development: Work directly on modules such as Campaign Engine, Customer Profile, Integration Hub, Channel Orchestrator and system events.
• Integrations: Build integrations with external services (ERPs, WhatsApp, VOIP, payments, data bureaus), ensuring resilience and performance.
• Service Architecture: Structure modular, scalable services with clear separation of responsibilities and low coupling.
• Data Modeling: Define and evolve data structures with a focus on consistency, performance and multi-tenant environments.
• Asynchronous Processing: Implement queues, workers and event-driven processing (e.g., campaigns, deliveries, webhooks).
• Observability: Monitor logs, metrics and tracing to ensure stability and rapid identification of issues.
• Performance and Scalability: Optimize services to handle high volumes of data, calls and real-time events.
• Code Quality: Ensure clean, testable code and follow best practices for versioning and code review.
• Collaboration: Work closely with frontend, AI and product teams to ensure deliveries are aligned with business needs.

Fullstack Developer Mid/Senior

AI Engineer

Backend Developer Mid/Senior