AI Engineer (Back-End)

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.

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

Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

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