Senior AI Agent Engineer

About Planera: Planera is a high-growth technology innovator on an ambitious mission to transform a $12.1 trillion global construction industry by modernizing project planning and scheduling. We develop a next-generation Critical Path Method (CPM) platform that eliminates structural friction, letting builders, engineers, and project management experts collaborate seamlessly. Our engineering group builds state-of-the-art intelligent systems, featuring Manny—an advanced autonomous AI scheduling assistant designed to eliminate manual tracking and optimize complex construction workflows. Backed by an innovation-driven, smart, and spirited startup culture, Planera provides the foundational software infrastructure that changes how the world executes macro-scale building initiatives.

Position Overview

We are seeking a highly autonomous, systems-fluent, and development-oriented Senior AI Agent Engineer to lead the architecture, implementation, and quality optimization of our autonomous scheduling agent, Manny, under a permanent, full-time remote configuration open across the United States. In this high-leverage applied artificial intelligence seat, you will hold absolute technical ownership over designing and evolving multi-node graph frameworks, tool surfaces, and production evaluation loops. Shifting completely away from routine non-regulated administrative data entry logs, basic prompt configurations, or generic helpdesk support ticketing, you will operate an active cross-provider LLM orchestration, Model Context Protocol (MCP) tool routing, and automated trace evaluation laboratory. Reporting directly to the CTO and partnering close-knit neben the Lead AI Engineer, you will blend a deep software engineering foundation with a passionate focus on behavior reliability and user impact. This position requires an engineering authority with 4+ years of professional software history who handles algorithmic logic fluidly natively using AI Engineer, Prompt Engineering, and Python Scripting primitives, enforces rigorous code-sandboxing safety nets, and optimizes streaming interservice communications independently.

Key Responsibilities

• Agent Architecture & Graph Governance: Architect, expand, and maintain Manny’s core multi-node control logic, optimizing the ReAct loop, conditional routing networks, and streaming responses natively utilizing AI Engineer best practices.
• Tool Integration & MCP Instrumentation: Extend the agent’s functional tool surface area by developing and managing an MCP (Model Context Protocol) server connecting Manny to Planera’s core backend scheduling engines.
• Production-Grade Code Customization: Formulate, scale, and optimize high-concurrency microservices, state machines, and relational storage paths natively deploying Python Scripting models.
• Advanced Prompt Engineering Control: Program, refine, and secure complex prompt structures to shape model behavior reliably, managing token allocation budgets and optimizing multi-tier prompt caching systems natively leveraging Prompt Engineering rules.
• Automated Evaluation Loop Design: Build and own the end-to-end evaluation lifecycle by creating snapshot-based replay utilities, golden datasets, and both offline and online quality telemetry arrays.
• Multi-Provider LLM Telemetry Triage: Integrate and fine-tune leading frontier language models (including Anthropic, OpenAI, and Google), systematically balancing response quality against latency and financial cost.
• Observability and Runtime Diagnostics: Implement comprehensive tracing, telemetry metrics, and structured logging infrastructures across distributed workflows using enterprise debugging layers like LangSmith .
• Sandboxed Execution Control: Architect secure, sandboxed runtimes to execute model-generated code blocks safely while mitigating side effects and unauthorized data mutations across backend service layers.

Required Skills & Qualifications

• Possess a formal Bachelor degree or higher in Computer Science, Machine Learning, Software Engineering, or a matching quantitative technical discipline (or verified equivalent practical history).
• A minimum of 4+ years of proven, successful professional software engineering experience, with a documented history building and deploying production-ready LLM systems and feature pipelines.
• Expert Agentic Systems Command: Meticulous hands-on track record designing and launching advanced autonomous agents, function-calling schemas, and multi-step tool-use graphs natively inside modern orchestration frameworks (specifically LangChain and LangGraph ).
• Production-grade programming mastery in Python building resilient services, with a comprehensive grasp of web protocols, streaming APIs (websockets, Server-Sent Events/SSE), and distributed data architectures.
• Practical data-literacy utilizing advanced trace-debugging toolsets, model testing applications, and tracking performance variables to catch code regressions under pressure.
• Outstanding written, verbal, and textual presentation communication strengths in English, with a product-oriented mindset focused on pragmatic technical tradeoffs and high user impact.
• Location Context: Position operates under remote guidelines open exclusively to qualified full-stack AI agent engineers residing permanently within the United States .

Preferred Strategic Indicators (Nice to Have)

• Prior platform or consulting history building automated workflows natively in Go (Golang) , with experience managing distributed database infrastructures using MongoDB and Redis .
• Direct operational alignment within construction tech, proptech, algorithmic project scheduling, or enterprise resource planning (ERP) systems .
• Familiarity with containerization tools, declarative infrastructure as code setup (Terraform), and cloud automation clusters (AWS or GCP).

What We Offer

• Premium United States Applied AI Leadership Remuneration Matrix: A highly competitive annual target cash base salary package calibrated precisely to your individual systems pedigree and agentic engineering velocity, supplemented by high-upside corporate stock options and comprehensive executive perks.
• 100% remote workspace infrastructure freedom anywhere within the United States, granting you absolute calendar ownership over a flexible workday.
• Macro Scale Technology Influence: Elite professional landmarks achieved by single-handedly blueprinting the autonomous agents and tool servers transitioning the multi-trillion-dollar construction industry into an automated future.
• Comprehensive health, physical preservation, and wellness benefits packages tailored seamlessly to top-tier software metrics.
• Access to a low-bureaucracy, engineering-driven start-up culture featuring direct access to the CTO, state-of-the-art hardware provisioning, and rapid professional growth paths alongside a smart, spirited team dedicated to technical excellence.