This Jobot Job is hosted by: Christina Finster
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Salary: $160,000 - $190,000 per year
A bit about us:
Our Client is a fast-growing, data-driven startup based in Boulder, Colorado, helping homeowners take better care of their land through smarter, sustainable, and AI-powered lawn care.
Now they're building the future of lawn care - powered by AI - and looking for an engineer excited to develop intelligent systems that learn, reason, and act.
Why join us?
Mission with Impact: Help make sustainable, intelligent lawn care accessible to everyone.
High-Growth Startup: Small, fast-paced team where your work directly shapes the product.
Cutting-Edge Tech: Build AI systems leveraging OpenAI, LangChain, and computer vision.
Flexible Work: Remote-friendly with optional HQ collaboration in Boulder, CO.
Competitive Pay & Equity: Plus, 100% employer-paid health benefits, unlimited PTO, and 401(k).
Job Details
We're searching for a Software Engineer with deep AI/ML experience to join our clients Yard AI initiative - building the next generation of autonomous, AI-driven lawn care tools.
You'll work on the companys AI lawn care companion, scaling capabilities that include image recognition (weeds, bare spots, lawn health), personalized task calendars, and intelligent conversational workflows that help customers take action.
This role is ideal for someone who thrives at the intersection of backend engineering and applied AI - developing, deploying, and optimizing LLM and multi-agent systems that integrate directly into user-facing applications.
REQUIREMENT: You must reside in one of the following states: AR, CA, CO, CT, HI, MA, ME, MI, MN, MO, NC, NV, NY, OK, PA, TX, UT, VT, or WA.
What You'll Do
Design, build, and maintain backend + AI pipelines (FastAPI, Python) powering LLM-driven chat, image recognition, and agentic workflows
Develop and deploy agentic AI systems using frameworks like LangChain, CrewAI, or LangGraph
Create RAG pipelines using vector databases (Pinecone, Weaviate, PGvector) and proprietary data to improve contextual relevance
Collaborate with cross-functional teams - product, design, mobile, and data science - to deliver high-impact, intelligent features
Fine-tune and evaluate LLM/CV models using tools like OpenAI Evals, Braintrust, or Promptfoo
Deploy and monitor production systems in Google Cloud Platform/Kubernetes, ensuring reliability and observability with OpenTelemetry
Mentor other engineers on AI best practices and agentic architectures
What We're Looking For
5+ years of experience in software or AI engineering
Strong Python development skills with production experience
Hands-on experience with OpenAI APIs (Assistants, Evals, SDKs)
Proven experience building RAG and multi-agent systems
Familiarity with LangChain, CrewAI, LangGraph, or similar orchestration tools
Experience deploying AI models in Google Cloud Platform or AWS environments
Understanding of CI/CD, Terraform/CDK, and cloud-native operations
Strong communication and collaboration skills
Bonus: familiarity with computer vision, reinforcement learning, or MCP servers
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 91113390
- Position Id: 523107784
- Posted 10 days ago
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