Senior AI Agent Engineer

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🕒 Junho 30

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Planera Inc

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2021

🏗️ Construção

💼 Consultoria

☁️ SaaS

🔥 Investimento no último ano

💰 $8.000.000 Series A - Planera em 2025-10

Construction • Consulting • SaaS

A Planera Inc é uma empresa de SaaS que oferece uma plataforma moderna e visual de agendamento CPM para equipes de construção, com foco especial na construção de data centers e projetos complexos. Seu quadro branco digital (Canvas), aplicativo para iPad voltado para o campo, verificações de qualidade DCMA e fluxos de trabalho integrados de campo para cronograma mestre permitem uma colaboração em tempo real entre escritório e campo, simulação de risco, planejamento de recursos e visibilidade em nível de portfólio. A Planera integra-se com ferramentas como Procore, Autodesk, Primavera P6 e Microsoft Project e está posicionada como uma substituta fácil de usar para softwares de agendamento legados para construtores, equipes de pré-construção e organizações de projetos empresariais.

Descrição

• Join Planera to build Manny, our AI scheduling assistant, and shape how construction schedulers work with AI on a modern Critical Path Method platform. • Own agent features end to end: designing and evolving the LangGraph/LangChain agent, engineering prompts and tools, integrating LLMs across providers, and holding response quality to a high bar with a real evaluation and observability stack. • Design, build, and own Manny features end to end across the agent backend, tools, and UI • Improve agent behavior, reliability, and answer quality through prompt engineering, tool design, and changes to the agent control flow • Evolve the agent architecture: ReAct loop, routing and controller logic, multi-node graphs, tool selection, and streaming responses • Integrate and tune LLMs across providers (Anthropic, OpenAI, Google), balancing quality, latency, and cost, including prompt caching and model selection • Design and extend Manny's tool surface through the MCP server that connects the agent to Planera's scheduling services • Build and own the evaluation loop: golden datasets, automated evaluators, snapshot-based replay, and offline and online quality metrics • Implement observability for agent runs with tracing, metrics, and structured logging, and use it to debug and improve behavior in production • Ensure safe, sandboxed execution of model-generated code and safe handling of tool side effects and mutations • Collaborate with product, backend, and frontend to deliver AI features end to end

🎯 Requisitos

• 4+ years of software engineering experience, including recent hands-on work building production LLM features. • Strong proficiency in Python building production services • Hands-on experience building agentic systems with LLMs: tool and function calling, ReAct or similar loops, and orchestration frameworks such as LangChain/LangGraph • Practical prompt engineering skill: shaping model behavior reliably, debugging failures from traces, and managing large prompts and token cost • Experience evaluating LLM systems: building datasets, writing evaluators, catching regressions, and using tracing and observability tooling • Experience with the Model Context Protocol (MCP) or building tool and function-calling integrations for LLMs • Solid understanding of API design (REST, websockets, SSE and streaming) and interservice communication • Product mindset with a focus on user impact and pragmatic tradeoffs • Excellent remote communication skills.

🏖️ Benefícios

• Competitive salary • Stock options • Benefits package • Dynamic work environment