Powering the next generation of financial services in Latam through a financial data API platform (Y Combinator W20).
Software Engineer – Applied AI
Location
Brazil
Posted
6 hours ago
Salary
0
Seniority
Senior
Job Description
Software Engineer – Applied AI
Belvo
• Contribute hands-on across the full lifecycle of AI products, from prototyping new initiatives to deploying and maintaining production AI services for internal teams and external customers. • Plan, implement, and maintain end-to-end agents. This includes selecting the right models, designing prompts, setting up Model Context Protocols (MCPs) and tool integrations, running evaluations, and ensuring production health. • Operate AI-natively every day. Actively utilize AI agents (e.g., Claude Code, Cursor, Codex, custom pipelines) to plan, implement, review, and debug your work. • Contribute to the foundational platform other Belvo squads use to ship AI, focusing on agent abstractions, conversation and state storage, durable workflow orchestration, streaming interfaces, observability, and guardrails. • Stay at the forefront of the industry by testing new models, agentic frameworks, and MCP-native patterns, selecting options based on pragmatic production reliability, cost, and latency. • Instrument and monitor AI pipelines using Langfuse and Datadog to debug failed agent runs, detect regressions, and maintain production health. • Support enablement efforts that help other Belvo squads adopt AI safely through reference implementations, integration patterns, and shared tooling.
Job Requirements
- 5+ years of experience in software engineering or building technical products.
- You have contributed to building and maintaining LLM-powered systems (agentic systems) in production settings.
- You are comfortable working with agentic frameworks (e.g., Pydantic AI, LangGraph, Claude Agent SDK, AI SDK) and applying them effectively in context.
- You are familiar with the Model Context Protocol (MCP) and its core design considerations.
- You actively use coding agents (e.g., Claude Code, Cursor, Codex, GitHub Copilot) in your daily workflow and consistently look for ways to amplify your output with them.
- You are comfortable reading agent traces, debugging AI pipelines, and utilizing AI observability tooling (e.g., Langfuse, Datadog).
- You bring strong engineering skills in Python (ideally with FastAPI or Django) and focus on writing maintainable, well-tested code.
- You have experience with cloud infrastructure (ideally AWS) and infrastructure-as-code (e.g., Terraform), and feel comfortable deploying and maintaining your own services.
- You are curious about new models and tools, yet thoughtful about what is practical for production use.
- You value sharing progress early, collaborating closely with stakeholders, and viewing learning as an iterative process.
- You thrive in fast-paced or small-team settings where ownership, collaboration, and adaptability are critical.
- You are proficient in written and spoken English.
Benefits
- Stock options (we are all owners and this is very important to us)
- Annual company bonus linked to company performance
- Flexible working hours
- Remote friendly
- Pet friendly
- Health Insurance
- Paid time off on your birthday
- Renew your laptop every 3 years
- Training Budget
- Team building events
- Bank holidays swap within 30 days
- Fitness/ wellness stipends
- Yearly company offsite
- Fresh fruit every week, all-you-can-drink tea and coffee
- Extra days off when completing company anniversary
- Yearly department offsite
- Company Offsite
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