AI Platform Engineer

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🕒 January 31

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Logo of Light

Light

5001 - 10000 employees

Founded 1905

⚡ Energy

👥 B2C

🤝 B2B

Energy • B2C • B2B

Light is a Brazilian electric utility that generates, distributes and commercializes electricity to residential and commercial customers in the Rio de Janeiro area. The company provides billing and customer services (online and in-person), grid maintenance and expansion, anti-theft and emergency response operations, programs for energy efficiency, distributed generation and sustainability, and community and cultural initiatives.

📋 Description

• Architect the Engine: Design and build a production-grade Agent Runtime that handles tool registration, permissions, timeouts, and retry semantics for autonomous agents. • Define the Standard: Evolve our internal GenAI Client and SDKs to create a "paved road" for product engineers, standardizing how every team at Light interacts with LLMs. • Solve for Trust: Build the "CI/CD for AI", implementing reliability frameworks, golden datasets, and regression testing pipelines that allow us to deploy prompts and agents with confidence. • Expand the Ecosystem: Lead the integration of Light with external platforms via the Model Context Protocol (MCP) and automation tools like n8n. • Governance & Scale: Design the guardrails, rate limits, and caching strategies that ensure our AI infrastructure scales predictably and cost-effectively.

🎯 Requirements

• Strong Systems Engineering Background: You have significant experience building scalable backend systems or internal developer platforms. You care deeply about latency, observability, and clean APIs. • AI Native Mindset: You live on the bleeding edge of the AI landscape. You understand the difference between an Agent and a Chain, you have experimented with MCP, and you keep up with the latest releases from OpenAI, Anthropic, and DeepSeek. • Polyglot Capabilities: You are proficient in Kotlin (our core backend language) or have a strong willingness to learn it. • Focus on Determinism: You hate flaky software. You understand that trust is the biggest bottleneck to AI adoption, and you know how to build the evaluations and logging necessary to generate that trust. • Force Multiplier Attitude: You get more satisfaction from unblocking 10 other engineers with a great tool than from shipping a single feature yourself.

🏖️ Benefits

• Competitive salary + potential stock options • 25 days of annual leave + public holidays (in your country) • Regular socials and company off-sites. • A huge opportunity to shape a market-defining product and engineering culture

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