Senior AI Agent Engineer Job

June 30, 2026

<h2>About the Role</h2>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.<h2>Key Responsibilities</h2><ul style="min-height:1.5em"><li>Design, build, and own Manny features end to end across the agent backend, tools, and UI</li><li>Improve agent behavior, reliability, and answer quality through prompt engineering, tool design, and changes to the agent control flow</li><li>Evolve the agent architecture: ReAct loop, routing and controller logic, multi-node graphs, tool selection, and streaming responses</li><li>Integrate and tune LLMs across providers (Anthropic, OpenAI, Google), balancing quality, latency, and cost, including prompt caching and model selection</li><li>Design and extend Manny's tool surface through the MCP server that connects the agent to Planera's scheduling services</li><li>Build and own the evaluation loop: golden datasets, automated evaluators, snapshot-based replay, and offline and online quality metrics</li><li>Implement observability for agent runs with tracing, metrics, and structured logging, and use it to debug and improve behavior in production</li><li>Ensure safe, sandboxed execution of model-generated code and safe handling of tool side effects and mutations</li><li>Collaborate with product, backend, and frontend to deliver AI features end to end</li></ul><h2>Requirements</h2><ul style="min-height:1.5em"><li>4+ years of software engineering experience, including recent hands-on work building production LLM features.</li><li>Strong proficiency in Python building production services</li><li>Hands-on experience building agentic systems with LLMs: tool and function calling, ReAct or similar loops, and orchestration frameworks such as LangChain/LangGraph</li><li>Practical prompt engineering skill: shaping model behavior reliably, debugging failures from traces, and managing large prompts and token cost</li><li>Experience evaluating LLM systems: building datasets, writing evaluators, catching regressions, and using tracing and observability tooling</li><li>Experience with the Model Context Protocol (MCP) or building tool and function-calling integrations for LLMs</li><li>Solid understanding of API design (REST, websockets, SSE and streaming) and interservice communication</li><li>Product mindset with a focus on user impact and pragmatic tradeoffs</li><li>Excellent remote communication skills</li></ul><h2>Preferred</h2><ul style="min-height:1.5em"><li>Experience with MongoDB and Redis</li><li>Cloud experience (AWS or GCP), containers, and CI/CD</li><li>Go experience, as most of our backend systems are written in Go, including the MCP tool server</li><li>Practical experience with retrieval and augmentation (RAG), embeddings, and vector stores</li><li>Familiarity with LangSmith or comparable LLM evaluation and tracing platforms</li><li>Frontend or React familiarity for agent UI work</li><li>Domain knowledge in construction tech, project management, or scheduling</li></ul><h2>Tech Stack</h2><h2>Python (Flask), Go, LangGraph/LangChain, LangSmith, MongoDB, Redis, S3, REST/websockets/SSE, Docker, AWS/GCP, Terraform, GitLab CI/CD</h2><h2>Why Join Us</h2>Impact: Be at the forefront of transforming a $12.1 trillion industry. Build the AI that changes how the world plans and schedules construction.Culture: Join a smart, spirited team dedicated to innovation and excellence.Growth: Opportunity for professional growth and career advancement in a fast-paced start-up environment.<h2>Benefits</h2>Competitive salary, stock options, benefits package, and a dynamic work environment.

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