Jobot
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This range is provided by Jobot. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $160,000.00/yr - $190,000.00/yr
Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
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 company’s 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.
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 GCP/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 GCP 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.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot’s Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.
By applying for this job, you agree to receive calls, AI‑generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here jobot.com/privacy-policy.
Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
#J-18808-Ljbffr
This range is provided by Jobot. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $160,000.00/yr - $190,000.00/yr
Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
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 company’s 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.
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 GCP/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 GCP 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.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot’s Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.
By applying for this job, you agree to receive calls, AI‑generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here jobot.com/privacy-policy.
Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
#J-18808-Ljbffr