---
title: 'Senior AI Agent Engineer at Planera'
canonical: 'https://feeny.ai/job/senior-ai-agent-engineer-planera-united-states-4qaee122fgz0'
type: 'job'
last_seen: '2026-09-10'
---

# Senior AI Agent Engineer at Planera

- **Company:** Planera
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-06-29
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/planera/d68c8a09-a11d-409e-85ca-5d434caf3fc8/application

**Skills:** Python, LangGraph, LangChain, Prompt engineering, LLM integration, Model Context Protocol (MCP), API design, REST, Websockets, SSE, Streaming, Observability, Tracing, Metrics, Structured logging, MongoDB, Redis, AWS, GCP, Containers

> Join Planera to build Manny, an AI scheduling assistant, by owning agent features end-to-end. You will design and evolve the LangGraph/LangChain agent, engineer prompts and tools, integrate LLMs, and ensure high response quality with a robust evaluation and observability stack.

## Job description

## About the Role

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.

## Key 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

## 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
- Excellent remote communication skills

## Preferred

- 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

Tech Stack Python (Flask), Go, LangGraph/LangChain, LangSmith, MongoDB, Redis, S3, REST/websockets/SSE, Docker, AWS/GCP, Terraform, GitLab CI/CD

## Why Join Us

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.

## Benefits

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

## About Planera

## Company Overview
- **One-liner**: Planera provides a modern, cloud-native construction scheduling platform that replaces legacy tools like Primavera P6 and Microsoft Project with an AI-powered CPM scheduler.
- **Entity Type**: Private (Series A-II; total funding $26.9M)
- **Headquarters**: San Ramon, California, United States
- **Founded**: 2021
- **Founders**: Erik Swenson (CEO), Saif Lodhi (CTO), Scotland Foss (Product Strategy), Travis Ortiz (Head of CS)

## Core Business
- **Primary industry**: Construction technology (ConTech)
- **Target customers**: General contractors, specialty contractors, and owners (B2B, Enterprise, mid-market to ENR 100 firms)
- **Mission**: “Improving construction outcomes and safety through accessible planning.”

## Products & Services
- **Planera Platform (Core CPM Scheduler)**: A full Critical Path Method scheduling engine with all relationship types, lag/lead, constraints, critical path and float analysis. Cloud-native with a drag-and-drop digital whiteboard interface.
- **AI Assistant “Manny”**: An intelligent scheduling assistant that answers questions, runs what-if scenarios, and proactively surfaces risk using AI.
- **Monte Carlo Simulation & DCMA 14-Point Checks**: Built-in schedule quality analysis and risk modeling against industry standards.
- **Field Schedules**: Connect task-level field schedules to the master project plan, keeping office and field aligned.
- **Preconstruction Planning**: Seamless planning and scheduling for the preconstruction phase.
- **Enterprise Portfolio Visibility**: Real-time, cross-project dashboards for leadership.
- **Integrations**: Native integrations with Procore and Autodesk; file import/export compatibility with Primavera P6 and Microsoft Project.

## Market Standing
- **Valuation**: Not publicly disclosed
- **Key Metrics**:
  - **Total Funding**: $26.9M (last round: $8M Series A-II, ~8 months ago per CB Insights)
  - **Annual Revenue**: $4.3M (LinkedIn estimate)
  - **Headcount**: 54 employees (+71.8% YoY)
- **Notable Investors**: Sorenson Capital, Brick & Mortar Ventures, Sierra Ventures, Zachry Construction, Prudence (and 5+ others)
- **Key Customers**: Balfour Beatty, HITT Contracting, Swinerton, Hensel Phelps, Big-D Construction, Zachry, and many other ENR 100 general contractors.
- **Growth Signals**: Over 50 million scheduling days planned on the platform; SOC 2 Type 2 certified; significant headcount growth; expanding into data center and infrastructure verticals.

## Competitive Advantages
- **Full CPM depth, modern UX**: Offers the scheduling power of Primavera P6 without the desktop-only, steep learning curve—delivered in a collaborative, cloud-native interface.
- **AI-first approach**: Built-in AI (Manny) for risk analysis, scenario simulation, and schedule quality checks (DCMA 14-point).
- **Seamless interoperability**: Native integrations with Procore and Autodesk, plus file compatibility with P6 and MS Project, lower switching costs for contractors.
- **Domain expertise**: Dedicated onboarding team with deep construction experience, not just software generalists.
- **Security**: SOC 2 Type 2 certified with enterprise-grade SSO and role-based access.

## Strategic Focus
- **Replace legacy scheduling tools**: Actively targeting contractors stuck on P6 or MS Project by offering a modern alternative that still meets contract file-format requirements.
- **AI leadership**: Continued development of the AI assistant (“Manny”) to automate schedule analysis and generate real-time insights.
- **Vertical expansion**: Deepening presence in data centers, infrastructure, and large-scale commercial projects.
- **Enterprise scaling**: Growing from mid-market to top-tier ENR 100 firms with portfolio-level visibility tools.

## Why Work Here
- **Culture & team**: “Dedicated to your success” – hands-on, construction-savvy support and implementation teams. The founding team combines construction scheduling expertise with modern software engineering.
- **Growth trajectory**: 71.8% YoY headcount growth signals a fast-scaling company with expanding opportunities.
- **Engineering culture**: Building a cloud-native, AI-powered platform from the ground up – opportunity to work on challenging problems in scheduling, real-time collaboration, and machine learning.
- **Remote/Hybrid**: Based in San Ramon, CA; hybrid likely (details not publicly specified).
- **Notable perks**: Modern tech stack, meaningful impact on a historically under-served industry, SOC 2-certified secure environment.

## Sources
1. [planera.io](https://www.planera.io/)
2. [planera.io/about-us](https://www.planera.io/about-us)
3. [linkedin.com – Planera Inc](https://www.linkedin.com/company/planera-inc)
4. [cbinsights.com – Planera](https://www.cbinsights.com/company/planera)

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