Planera

Planera

Senior AI Agent Engineer

United States · Senior

Sponsorship not specifiedDetected 115 days ago
PythonGoReactNode.jsGitMongoDBRedisVector DatabasesAWSGCPDockerCI/CDAPI DevelopmentRESTWebSocketsLLMsRAGAgentic AILLMOpsLangGraphAI OrchestrationProject ManagementCommunication

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Files H-1B transfers

4 transfer filings in the last year, covering 4 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

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About the role

  • This is a hands-on applied AI role with a strong software engineering foundation and a focus on reliability, behavior quality, and user impact.
  • 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.

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
  • 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
  • Collaborate with product, backend, and frontend to deliver AI features end to end
  • 4+ years of software engineering experience, including recent hands-on work building production LLM features.
  • Hands-on experience building agentic systems with LLMs: tool and function calling, ReAct or similar loops, and orchestration frameworks such as LangChain/LangGraph
  • Join Planera to build Manny, our AI scheduling assistant, and shape how construction schedulers work with AI on a modern Critical Path Method platform.
  • Build the AI that changes how the world plans and schedules construction.

Requirements

  • Strong proficiency in Python building production services
  • Experience with the Model Context Protocol (MCP) or building tool and function-calling integrations for LLMs

Nice to have

  • Experience with MongoDB and Redis
  • 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

Skills

  • PYTHON, GO, LANGGRAPH /LANGCHAIN, LANGSMITH, MONGODB, REDIS, S3, REST/WEBSOCKETS/SSE, DOCKER, AWS/GCP, GITLAB CI/CD
  • 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

Compensation

  • Competitive salary, stock options, benefits package, and a dynamic work environment.

Benefits

  • Competitive salary, stock options, benefits package, and a dynamic work environment.

Company info

  • Growth: Opportunity for professional growth and career advancement in a fast-paced start-up environment.
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This listing is sourced directly from Planera's careers page and normalized into a canonical job model.