The Role
Design, build, and deploy agentic AI tools and production-grade models and workflows. Own end-to-end deployment, monitoring, and incident response. Collaborate with AI/ML and infra teams to ensure scalable, observable systems and release AI products to internal and external users.
Summary Generated by Built In
About Precision AI
Precision AI is on a mission to transform agriculture with cutting-edge drone technology. Our aerial spraying systems help farmers target weeds with surgical precision, reducing chemical use and increasing yields. We’re a fast-moving, impact-driven team looking for people who want to help build the future of farming.
The AI Systems Engineer at Precision AI will focus on designing, building, and deploying agentic AI tools and systems, both for internal use and directly into the hands of farmers and agricultural operators. This role sits alongside our Infrastructure & DevOps Engineer on the core software team and will contribute to one of two critical tracks: our Velocity Engine release (our internal AI model) or the external deployment of AI models and tools to end users.
We're looking for someone who has lived and breathed agentic systems; or, if you're newer to agents, an exceptional software developer with a deep passion for AI and a drive to build production-grade systems in a fast-moving startup.
Working closely with AI/ML and Engineering teams, this role requires someone comfortable operating in ambiguous, fast-paced startup environments without relying on formal processes or extensive documentation.
This role is hybrid working out of our Southeast Calgary office 3 days per week.
Agentic AI Development
- Design, build, and iterate on agentic AI tools and workflows using orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen); deploy production-grade systems used internally and by external users.
- Contribute to the development and external release of AI models and tools into the hands of farmers and agricultural operators.
- Support or lead work on the Velocity Engine depending on team priorities and business needs at time of hire.
Production Deployment & Operations
- Own end-to-end deployment of AI systems from development through staging to production; ensure systems are reliable, observable, and operationally sound.
- Monitor AI system performance, respond to incidents, and implement improvements in a high-velocity startup environment.
- Collaborate with the Infrastructure & DevOps Engineer to ensure AI workloads are supported by scalable, secure cloud infrastructure.
Quality & Collaboration
- Implement evaluation frameworks, testing, and monitoring for AI systems in production; track model performance, cost, and reliability over time.
- Collaborate with AI/ML and product teams on requirements, integration needs, and tooling to accelerate delivery.
- Hands-on experience building and deploying agentic AI systems (LLM-based agents, tool use, multi-step reasoning pipelines, RAG, orchestration frameworks) in production environments — or — strong software engineering fundamentals with demonstrated passion for AI and agents.
- Proficiency in Python and modern AI/ML libraries; experience designing and consuming APIs in production contexts.
- Familiarity with model deployment, prompt engineering, evaluation, and monitoring in real-world applications.
- Experience working with cloud platforms (AWS preferred) and containerized (Docker) application deployment.
- Comfortable operating in ambiguous, resource-constrained startup environments with limited documentation and process.
- Genuine obsession with AI and agents; you follow the frontier and know what's worth building with.
- Bias for shipping — you build production systems, not demos or prototypes, and take ownership through deployment and beyond.
- Ability to operate across internal tooling and external product work; comfortable switching contexts without losing quality.
- Collaborative yet autonomous working style; excited by breadth and impact over narrow specialization.
Bonus
- Startup background with end-to-end ownership of AI product or tooling development.
- Exposure to agricultural technology, robotics, autonomous systems, or developer platforms.
- Familiarity with AWS infrastructure (Lambda, ECS, S3, CloudWatch, etc.) in production AI contexts.
- Open-source contributions that demonstrate ownership — published, maintained, or supported a project.
Not Sure You Meet Every Requirement?
Research shows that some candidates, especially women, underrepresented groups, and career changers, are less likely to apply for a role unless they meet 100% of the listed qualifications. At Precision AI, we believe the right person can grow into the role, and we value potential as much as experience. If you’re excited about our mission and think you could contribute, we encourage you to apply, even if you don’t check every single box.
Equal Employment Opportunity
All qualified applicants will receive consideration for employment without discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other status protected by law.
Skills Required
- Hands-on experience building and deploying agentic AI systems (LLM-based agents, tool use, multi-step reasoning, RAG, orchestration frameworks) OR strong software engineering fundamentals with demonstrated passion for AI and agents
- Proficiency in Python and modern AI/ML libraries
- Experience designing and consuming APIs in production contexts
- Familiarity with model deployment, prompt engineering, evaluation, and monitoring in real-world applications
- Experience with containerized application deployment (Docker)
- Experience working with cloud platforms (AWS preferred)
- Comfort operating in ambiguous, resource-constrained startup environments with limited documentation and process
- Genuine obsession with AI and agents and bias for shipping production systems
- Startup background with end-to-end ownership of AI product or tooling development
- Exposure to agricultural technology, robotics, autonomous systems, or developer platforms
- Familiarity with AWS infrastructure (Lambda, ECS, S3, CloudWatch) in production AI contexts
- Open-source contributions demonstrating ownership (published, maintained, or supported projects)
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The Company
What We Do
At Precision AI we are on a mission to accelerate artificial intelligence based farming practices to create healthier, happier, and more profitable farms. By leveraging our advanced drones and custom-built AI technology, we can take crop production decisions from a whole field to an individual plant level. This type of decision-making transforms an industry that has been reliant on larger and broader technology for decades. The outcome of our solutions is integrated into the agricultural technology of today and helps craft the machines of tomorrow that will feed the world. Precision AI was founded in 2017 with headquarters in Regina, Saskatchewan. We are scaling rapidly with an elite global team solving the agriculture challenges of farms around the world.
