Benefits:

• International projects with global enterprises

• Flexible work arrangements

• Career paths

• 20 fully paid days off

• Integration budget

Education Requirements:

• Bachelor's or Master's degree in Data Science or related

Experience Requirements:

• Commercial experience designing AI solutions

• Proficiency in ML algorithms

• Strong programming skills in Python

• Expertise in cloud (AWS or Azure)

• Knowledge in applying LLMs

Other Requirements:

• High proficiency in English (C1 level)

Responsibilities:

• Lead development and implementation of ML

• Lead the design of AI solution architectures

• Research and select best technologies

• Architect data pipelines and workflows

• Present findings clearly to stakeholders

Benefits:

• Great salary and equity

• Learning budget

• Premium AI tools budget

• Globally distributed team culture

Experience Requirements:

• Successfully scaled engineering teams to 30+

• Technical depth with AI-native fluency

• Experience leading teams that ship regularly at scale

• History of making technical decisions that shape company direction

• Experience building with conversational AI, event-driven systems, or CX platforms

Other Requirements:

• Startup DNA and comfort with ambiguity

• Infectious energy and positive culture builder mindset

Responsibilities:

• Set technical roadmap and align with business goals

• Double the engineering team over 12-18 months

• Stay hands-on with AI tools and coding experiments

• Partner with product/design/revenue leadership

• Establish scaling practices and drive velocity

Benefits:

• Great salary and equity

• Learning budget

• Premium AI tools

• Flexible remote work culture

Experience Requirements:

• 3+ years building in Node.js, React, TypeScript, and Express

• Strong with PostgreSQL, Redis, and AWS cloud environments

• Familiar with CI/CD and microservices architecture

• Experience integrating with LLMs in production (bonus)

Other Requirements:

• AI-first mindset (experience with Cursor, Claude Code)

Responsibilities:

• Design and build scalable features across the full stack

• Integrate cutting-edge LLM capabilities into enterprise workflows

• Optimize API performance and microservices architecture

• Maintain and improve cloud infrastructure (AWS)

• Collaborate with Product on roadmap development

Benefits:

• Great salary plus equity

• Learning budget

• Globally distributed team working on AI

• Premium AI tools (ChatGPT, Claude, etc.)

Experience Requirements:

• Experience leading engineering teams that build and scale end-to-end production systems

• Deep understanding of AI/ML systems (agent orchestration, RAG, etc.)

• Proven ability to translate business needs into technical deliverables

• Background as a founder or engineering lead (preferred)

Responsibilities:

• Lead a team of engineers building production-grade AI agents

• Own success outcomes for a portfolio of strategic accounts

• Shape the platform based on deployment learnings

• Coach and mentor engineers

• Coordinate with Sales and CS to deliver results

Benefits:

• Disability

• Dental

• life insurance

• Pension

• Extended medical insurance

Education Requirements:

• no-degree-certificate-or-diploma

Experience Requirements:

• Over 5 years farm management experience

• 5-years-or-more

Responsibilities:

• Coordinate and supervise the work of oneself and farm labourers

• Monitor and follow processes and procedures relating to maximizing crop production yield and minimizing production expenses

• Supervise and operate equipment and machinery as directed, including monitoring settings, verifying equipment is working as intended (ex. hoses, nozzles, etc.)

• Tracking & reporting progress as directed, maintaining all government-mandated and Coutts Agro Ltd. required logbooks and in-field progress

• Follow directions closely (ex. mixing chemical product, unloading bins, etc.). If you are unsure of something, ask.