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Lead AI Engineer

SingleOps

Full-time
USA, Canada
engineer
python
architecture
saas
monitoring
Apply for this position

At SingleOps + LMN, we're not just building software; we're building a lifeline for small to medium-sized businesses in the tree care and landscape industries. Our story is one of empowerment. We help these businesses tame the chaos of managing multiple crews and customers, keeping their costs low and giving them back their evenings. We're looking for a Lead AI Engineer to join our mission and help us continue to make a real difference in the lives of our customers.

The Team

You’ll be joining our 30-person engineering organization, a collaborative group of passionate, product-minded builders and will report directly to the VP of Engineering. This team is responsible for evolving and adding powerful new capabilities to our mature, successful SaaS platform. They are the experts at building atop a solid foundation, and they are excited to rally around and support the new AI vision you will bring.

The Role

You will lead the charge in creating the next stage of our product's evolution. Your journey will be a creative one: from exploring cutting-edge techniques to shipping our first-ever intelligent features. You will define the AI roadmap, select the best tools for the job, and set the technical foundation for the future AI/ML team that will follow in the path you create.

The Challenges

  • Charting the Course. You are the founder of our AI practice. The primary challenge—and opportunity—is to turn the blank slate of our AI strategy into a clear, strategic roadmap. You will be the one building this new dimension of our product from first principles.

  • Building the First Engine. You will build our AI capability from scratch atop a solid foundation. This involves setting the standards, choosing the architecture, and establishing the patterns that will power our intelligent features for years to come.

  • Pioneering Integration. The first of anything is always the hardest. You will navigate the unique challenges of integrating brand-new, intelligent systems with a mature platform, ensuring they are not just powerful, but also reliable, scalable, and seamless for our users.

Why This Role Matters

We're excited about this role because we know our customers still face tedious and time-consuming tasks every day. You will be the key person to help us reduce that drudgery and create unique, innovative experiences that enrich their lives. This is an opportunity to have a significant impact on our product, our company, and the lives of our customers.

Outcomes You Will Drive

  • Design and deploy our first set of AI-powered features, moving from prototype to production.

  • Develop a long-term vision and roadmap for AI within our product, focusing on areas like agentic workflows to automate complex customer tasks.

  • Architect and implement robust LLM orchestration systems to create reliable and scalable features.

  • Integrate AI/ML models into our existing platform, leveraging techniques like Retrieval-Augmented Generation (RAG) with our proprietary data.

  • Establish best practices for the full AI/ML lifecycle, from model evaluation to deployment and monitoring.

What We're Looking For

We're looking for a seasoned, pragmatic, and product-minded engineer who thrives in a collaborative environment. You should be an excellent communicator who can articulate complex technical concepts to all audiences.

  • Proven experience building and shipping AI/ML features in a production environment.

  • Hands-on experience with Large Language Models (LLMs) like GPT, Claude, or open-source alternatives.

  • Familiarity with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar tools.

  • Experience with vector databases (e.g., Pinecone, Chroma) and embedding techniques.

  • Strong programming skills, particularly in Python, and experience working within an established codebase.

  • (Bonus) Experience with model fine-tuning and building complex, multi-step AI agents.

Apply for this position
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About the job

Full-time
USA, Canada
Posted 3 hours ago
engineer
python
architecture
saas
monitoring

Apply for this position

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Lead AI Engineer

SingleOps

At SingleOps + LMN, we're not just building software; we're building a lifeline for small to medium-sized businesses in the tree care and landscape industries. Our story is one of empowerment. We help these businesses tame the chaos of managing multiple crews and customers, keeping their costs low and giving them back their evenings. We're looking for a Lead AI Engineer to join our mission and help us continue to make a real difference in the lives of our customers.

The Team

You’ll be joining our 30-person engineering organization, a collaborative group of passionate, product-minded builders and will report directly to the VP of Engineering. This team is responsible for evolving and adding powerful new capabilities to our mature, successful SaaS platform. They are the experts at building atop a solid foundation, and they are excited to rally around and support the new AI vision you will bring.

The Role

You will lead the charge in creating the next stage of our product's evolution. Your journey will be a creative one: from exploring cutting-edge techniques to shipping our first-ever intelligent features. You will define the AI roadmap, select the best tools for the job, and set the technical foundation for the future AI/ML team that will follow in the path you create.

The Challenges

  • Charting the Course. You are the founder of our AI practice. The primary challenge—and opportunity—is to turn the blank slate of our AI strategy into a clear, strategic roadmap. You will be the one building this new dimension of our product from first principles.

  • Building the First Engine. You will build our AI capability from scratch atop a solid foundation. This involves setting the standards, choosing the architecture, and establishing the patterns that will power our intelligent features for years to come.

  • Pioneering Integration. The first of anything is always the hardest. You will navigate the unique challenges of integrating brand-new, intelligent systems with a mature platform, ensuring they are not just powerful, but also reliable, scalable, and seamless for our users.

Why This Role Matters

We're excited about this role because we know our customers still face tedious and time-consuming tasks every day. You will be the key person to help us reduce that drudgery and create unique, innovative experiences that enrich their lives. This is an opportunity to have a significant impact on our product, our company, and the lives of our customers.

Outcomes You Will Drive

  • Design and deploy our first set of AI-powered features, moving from prototype to production.

  • Develop a long-term vision and roadmap for AI within our product, focusing on areas like agentic workflows to automate complex customer tasks.

  • Architect and implement robust LLM orchestration systems to create reliable and scalable features.

  • Integrate AI/ML models into our existing platform, leveraging techniques like Retrieval-Augmented Generation (RAG) with our proprietary data.

  • Establish best practices for the full AI/ML lifecycle, from model evaluation to deployment and monitoring.

What We're Looking For

We're looking for a seasoned, pragmatic, and product-minded engineer who thrives in a collaborative environment. You should be an excellent communicator who can articulate complex technical concepts to all audiences.

  • Proven experience building and shipping AI/ML features in a production environment.

  • Hands-on experience with Large Language Models (LLMs) like GPT, Claude, or open-source alternatives.

  • Familiarity with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar tools.

  • Experience with vector databases (e.g., Pinecone, Chroma) and embedding techniques.

  • Strong programming skills, particularly in Python, and experience working within an established codebase.

  • (Bonus) Experience with model fine-tuning and building complex, multi-step AI agents.

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