Backend Engineer ID59360

AgileEngine; São Paulo; Híbrido; BRL 133 920 - 200 880; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Professional growth

Competitive compensation

Exciting projects

Flextime

Resumo da oferta

AgileEngine is seeking a Middle Backend Engineer in São Paulo, Brazil, to build production backend systems that integrate AI agents with real energy data. Ideal candidates have over two years of experience in backend development using Python and frameworks like FastAPI, along with proficiency in Google Cloud Platform (GCP). This role involves developing microservices, ensuring system reliability, and collaborating across teams. AgileEngine offers competitive compensation and mentoring opportunities, with a flexible working schedule.

Qualificações

• 2+ years of experience building backend systems using Python and frameworks like FastAPI.
• Experience with Google Cloud Platform (GCP).
• Experience owning backend services end-to-end.
• Strong skills in debugging and problem-solving.
• Experience working with LLMs and AI tools.

Responsabilidades

• Build production backend systems connecting LLMs and APIs.
• Design and deploy microservices using Python.
• Develop data connectors to public data sources.
• Ensure performance and reliability of backend systems.
• Implement CI/CD pipelines for monitoring.

Conhecimentos

Backend systems development

Python

GCP

Problem-solving

Experience with LLMs and AI tools

Debugging

Fast-paced environments

Upper-intermediate English

Ferramentas

FastAPI

Terraform

AWS

Descrição da oferta de emprego

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

As a Middle Backend Engineer, you’ll build the infrastructure that lets AI agents read, reason, and act on real energy data — connecting LLMs, APIs, and live data sources into production systems that run 24/7. High ownership, early stage, genuinely hard domain problem. If you want to build AI-native systems from the ground up with direct product impact, this is for you.

WHAT YOU WILL DO

• Build production backend systems connecting LLMs and coding agents with data and product APIs;
• Design and deploy microservices using Python and optionally TypeScript;
• Develop data connectors to external portals and public data sources;
• Design backend infrastructure enabling AI agents to operate across data systems;
• Ensure performance, scalability, and reliability of backend systems;
• Implement observability and CI/CD pipelines for monitoring and maintenance;
• Collaborate with cross-functional teams to translate business problems into technical solutions.

MUST HAVES

• 2+ years of experience building backend systems using Python and frameworks such as FastAPI;
• Experience with Google Cloud Platform (GCP);
• Experience owning backend services end-to-end (APIs, integrations, deployments, monitoring);
• Strong skills in debugging and problem-solving;
• Experience working with LLMs and AI tools (LangChain, OpenAI APIs, or similar);
• Ability to rapidly prototype and iterate solutions;
• Ability to work independently and manage priorities;
• Strong communication skills across technical and business stakeholders;
• Comfort working in fast-paced environments;
• Upper-intermediate English level.

NICE TO HAVES

• Experience with Infrastructure as Code (Terraform);
• Experience in energy, fintech, or automation domains;
• Experience with AWS.

PERKS AND BENEFITS

• Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
• Exciting projects: Modern solutions with Fortune 500 and top product companies.
• Flextime: Flexible schedule with remote and office options.