belvo - Software Engineer - Applied AI
Requirements
• The AI stack changes every day, so flexibility is essential: learn fast, iterate quickly. We currently rely on Pydantic AI for most of our agents and continuously evaluate new frameworks like Claude Agent SDK, dspy, and others. • We primarily use modern Python on the backend (FastAPI/Django). • We use TypeScript and React on the frontend. • We run our infrastructure on AWS, favoring managed services wherever possible so we can focus on business problems. • We observe and monitor AI pipelines with Langfuse and our broader services with Datadog. • Our process steps: • At Belvo every hire is so important to us, that we share the decision to hire as a team. • People team chat • Take-home challenge • Challenge presentation • Team fit chat • Meet the founders
Responsibilities
• Product Delivery: 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. • Agent Lifecycle Management: 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. • AI-Native Workflow: 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. • Platform Foundation: 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. • Technical Exploration: 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. • Observability & Monitoring: Instrument and monitor AI pipelines using Langfuse and Datadog to debug failed agent runs, detect regressions, and maintain production health. • Team Enablement: Support enablement efforts that help other Belvo squads adopt AI safely through reference implementations, integration patterns, and shared tooling.
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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