AI Engineer; Back-End

This Jobot Job is hosted by:
Christina Finster
Are you a fit? Easy Apply now by clicking the “Apply Now” button and sending us your resume.
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.

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, Lang Chain, 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).

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.

• 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 Lang Chain, CrewAI, or Lang Graph
• 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 Open Telemetry
• Mentor other engineers on AI best practices and agentic architectures

• 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 Lang Chain, CrewAI, Lang Graph, 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

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.