AI Engineer ID59360

AgileEngine; São Bernardo do Campo; Híbrido; BRL 133.920 - 178.560; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Mentorship and TechTalks

Competitive compensation

Flexible schedule

Education and fitness budgets

Descripción de la vacante

A leading software development company in São Bernardo do Campo is looking for a Middle Backend Engineer to build AI-native systems. You will design and implement production backend infrastructure that connects LLMs, APIs, and data sources. Requirements include 2+ years of experience in backend development, proficiency in Python and FastAPI, and experience with GCP. The role offers a flexible schedule and competitive compensation among other benefits.

Formación

• 2+ years of experience in building backend systems using Python.
• Experience owning backend services end-to-end.
• Strong skills in debugging, problem-solving, and communication.

Responsabilidades

• Build production backend systems for AI agents.
• Design and deploy microservices using Python and optionally TypeScript.
• Ensure performance, scalability, and reliability of backend systems.

Conocimientos

Backend systems using Python

FastAPI

Google Cloud Platform (GCP)

Debugging and problem-solving

LLMs and AI tools

Upper-intermediate English

Herramientas

Terraform

AWS

Descripción del empleo

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.