Senior AI Agent Engineer

About the Role

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Join Planera to build Manny, our AI scheduling assistant, and shape how construction schedulers work with AI on a modern Critical Path Method platform. You will 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. This is a hands-on applied AI role with a strong software engineering foundation and a focus on reliability, behavior quality, and user impact. You will work directly with the CTO and the lead AI engineer.

Key Responsibilities

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• 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

Requirements

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• 4+ years of software engineering experience, including recent hands-on work building production LLM features.
• Strong proficiency in Python...