* Salário: R$ 11.000 a R$ 20.000 por mês (estimado)
* O valor exibido é uma estimativa calculada com base em dados públicos e referências do mercado. Não garantimos que este seja o salário oferecido para esta vaga específica.
Área: Tecnologia da Informação
Nível: Senior
What you'll work on
The core agent platform is a Go codebase (~600 fi les) that includes:
The core agent platform is a Go codebase (~600 fi les) that includes:
- The language parser and execution engine - parsing tool defi nitions, resolving variables (nested, loop-scoped, conditional), evaluating expressions, and executing multi-step workfl ows with checkpointing and pause/resume
- Multi-agent coordination pipelines that route messages through fi ltering, understanding, and response stages, with specialized agents for data management, human escalation, and scheduling
- A multi-provider LLM integration layer (Anthropic, OpenAI, Google Gemini, Groq, Grok, OpenRouter) with fallback chains, rate limiting, and hallucination checking
- RAG systems for company knowledge, conversation memory, and dynamic context building
- Language tooling: the LSP server, CLI tools, the parser itself, and the visual tool editor
- Browser automation via Playwright and Chromedp.
- Infrastructure: Kubernetes on DigitalOcean, CI/CD with GitHub Actions, monitoring with Elastic Stack (Elasticsearch, Kibana, APM)
Must-have:
- Strong Go experience. This is the primary language, the codebase is large and interface-heavy with complex execution paths
- Deep computer science fundamentals - data structures, algorithms, parsing, state machines. You'll work on a language parser, an execution engine with checkpointing, variable resolution with scoping rules, and expression evaluation. This isn't CRUD work
- Performance mindset. The execution engine needs to be fast and memory-eff icient. You should be comfortable profi ling, identifying bott lenecks, and reasoning about concurrency in Go.
- Solid understanding of REST APIs, WebSockets, and HTTP clients
- Experience with SQL databases (we use SQLite embedded + PostgreSQL in upstream services) and data modeling
- Comfortable with Docker and Kubernetes (deploying, debugging pods, Helm charts)
- Experience integrating with external APIs (CRMs, messaging platforms, third-party services)
- Ability to work with LLM APIs (prompt engineering, structured outputs, function calling). You don't need ML research experience, but you need to understand how to use these models eff ectively in production
- Familiarity with CI/CD pipelines (GitHub Actions)
Strong plus:
- Experience building or contributing to programming languages, DSLs, compilers, or interpreters. Understanding of parsing techniques, ASTs, and language design tradeoff s
- Experience building LSP servers or developer tooling
- RAG systems (embeddings, vector search, retrieval strategies)
- Browser automation (Playwright, Chromedp)
- MongoDB (used in upstream services)
- React/TypeScript (we have a tool editor frontend and a React client app)
- Observability: structured logging, APM, distributed tracing (OpenTelemetry, Elastic APM)
- Experience with multi-agent or workfl ow orchestration systems
Nice to have:
- Knowledge of Model Context Protocol (MCP)
- Fyne or desktop GUI development in Go
- Experience with messaging channel APIs (WhatsApp/WAHA, Instagram)
- DuckDB or embedded analytics
What the day-to-day looks like:
- Evolving the language: adding new operations, improving the parser, optimizing the execution engine
- Building and maintaining language tooling (LSP, CLI, visual editor)
- Adding new integrations (LLM providers, CRM systems, messaging channels)
- Debugging production workfl ows running on Kubernetes
- Writing integration tests that compare LLM provider behavior
- Working on multi-agent coordination and pipeline logic
- Handling infrastructure: deployments, monitoring, storage
What We Offer:
- High-Impact Autonomy: Own your work from day one. You will have the freedom to make critical decisions, shape our architecture, and see your immediate impact without bureaucratic red tape.
- Cutt ing-Edge Technology: Build with tomorrow's tech stack. You will work daily with the absolute latest advancements in AI, LLMs, and autonomous agent frameworks.
- Fast-Paced, Dynamic Culture: Join a tight-knit team that moves quickly. We value rapid iteration, creative problem-solving, and an environment where the best idea wins.
- Steep Learning Curve: The AI landscape evolves daily, and so do we. Push the boundaries of what is possible alongside brilliant colleagues dedicated to continuous growth and knowledge-sharing.
- Competitive Startup Compensation: An att ractive compensation and possibility of equity package so you share in our success, complemented by fl exible and remote work.