Planera - Senior AI Agent Engineer

United States, USA$25k - $25k+ Equity3w ago

In Office Senior NA Cloud Computing Artificial Intelligence AI Engineer Controller Python React REST GCP AWS

Requirements

• 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 • Preferred • Preferred • Cloud experience (AWS or GCP), containers, and CI/CD • Go experience, as most of our backend systems are written in Go, including the MCP tool server • Practical experience with retrieval and augmentation (RAG), embeddings, and vector stores • Familiarity with LangSmith or comparable LLM evaluation and tracing platforms • Frontend or React familiarity for agent UI work • Domain knowledge in construction tech, project management, or scheduling • Python (Flask), Go, LangGraph/LangChain, LangSmith, MongoDB, Redis, S3, REST/websockets/SSE, Docker, AWS/GCP, Terraform, GitLab CI/CD

Responsibilities

• 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

Benefits

• Impact: Be at the forefront of transforming a $12.1 trillion industry. Build the AI that changes how the world plans and schedules construction. • Impact: • Culture: Join a smart, spirited team dedicated to innovation and excellence. • Culture: • Growth: Opportunity for professional growth and career advancement in a fast-paced start-up environment. • Growth: • Competitive salary, stock options, benefits package, and a dynamic work environment.