Senior AI Agent Engineer

Planera provides the power of sophisticated project scheduling software, yet is as easy to use as a Whiteboard or Excel.

🤓 As a Senior AI Software Engineer, the company expects you to:

• Design, build, and own Manny features end to end — 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.

✨ You're the person they're looking for if…

• 4+ years of software engineering experience, with 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

• 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

• Available for 100% remote work

💜 They'll be even more excited about you if…

• You have experience with MongoDB and Redis

• You're comfortable with cloud (AWS or GCP), containers, and CI/CD

• You have Go experience — most of Planera's backend systems, including the MCP tool server, are written in Go

• You've applied RAG, embeddings, and vector stores in real projects

• You're familiar with LangSmith or comparable LLM evaluation and tracing platforms

• You have React familiarity for agent UI work

• You have domain knowledge in construction tech, project management, or scheduling