Senior ML/AI Engineer

Hi there!
We’re Sweed, a product-driven company building an all-in-one cannabis retail platform. We’re looking for a Senior ML/AI Engineer to join our team remotely and help us build the next generation of AI-powered product experiences.
This role is ideal for someone who enjoys working at the intersection of machine learning, software engineering, and product development - and wants to help bring modern AI systems into production at scale.

About Us
At Sweed, we’re reimagining how cannabis retailers operate. Our enterprise-grade platform combines POS, eCommerce, Marketing, Analytics, and Inventory Management into a single seamless ecosystem - eliminating the need for multiple third-party tools.
We believe in simplicity, efficiency, and innovation. That’s why we build for scalability and performance, helping cannabis retailers operate smarter while driving measurable business growth.

Why We’re Doing This
At Sweed, we believe in the medicinal potential of cannabis. It has been shown to help with chronic pain, anxiety, depression, and many other conditions. Despite the lingering stigma, we see cannabis as a powerful tool for improving lives.
The industry is evolving rapidly, and we’re here to drive that transformation - making cannabis retail more efficient, accessible, and customer-friendly.

Where We Are Now
We’ve been on the market for 7 years and continue growing rapidly.
Our platform already powers multiple AI-driven product experiences across marketing, eCommerce, analytics, and customer workflows. We’re now investing heavily into the next stage of our AI evolution - building agentic systems, intelligent automation, and scalable ML infrastructure that can support the future of the business.
You’ll be joining a small but highly impactful ML team inside our dedicated AI Vertical, working closely with product, engineering, analytics, and leadership teams across the company.

Team Structure
Our total team size is over 200 people.
The engineering organization is distributed globally and organized into cross-functional product teams. These teams typically include front-end and back-end engineers, QA specialists, analysts, and product managers.
The AI Vertical works closely with all major product domains across the company, including eCommerce, marketing, analytics, and internal platform tooling.
You’ll work directly with experienced ML engineers and collaborate cross-functionally with backend engineers, DevOps, analytics teams, and product stakeholders.

Why This Role Matters
We believe AI can unlock massive value for our customers - from intelligent recommendations and personalized experiences to workflow automation and agentic product capabilities.
As our ML Engineer, you’ll help shape the foundation of our AI systems and influence how AI is integrated across the entire platform.
This is not a role where you’ll only optimize isolated models. You’ll work end-to-end: from ideation and experimentation to production deployment and real product impact.
We’re still early enough in our AI journey that your ideas, technical decisions, and product thinking will directly shape the future of the platform.

What You’ll Work On
Build and productionize AI-powered product features across eCommerce, marketing, analytics, and customer workflows

Design and implement agentic AI systems and LLM-powered workflows

Develop, train, evaluate, and deploy machine learning models into production environments

Work across the full ML lifecycle: experimentation, feature engineering, model evaluation, deployment, monitoring, and iteration

Collaborate closely with product managers, backend engineers, analysts, and DevOps teams to bring AI systems into production

Design scalable APIs and inference services for AI-driven functionality

Improve and evolve our ML infrastructure, tooling, and AI-native development workflows

Rapidly prototype ideas, validate hypotheses, and iterate based on real-world feedback and business impact

Contribute to experimentation frameworks, A/B testing approaches, and production monitoring practices

Stay current with the latest developments in LLMs, agentic systems, generative AI, and applied machine learning

What Professional Skills Matter For Us
5+ years of production engineering experience in machine learning, AI engineering, backend engineering. We are open to strong backend engineers who would like to switch to AI Engineering

Strong Python and SQL skills

Experience with LLMs, RAG systems, AI agents, or orchestration frameworks such as LangGraph or PydanticAI

Hands-on experience building and shipping production systems

Experience with modern AI/LLM ecosystems, agentic frameworks, or strong interest in transitioning into this space

Understanding of ML/AI system design, experimentation, and production deployment practices

Experience building APIs or backend services

Experience with data processing and analytics workflows

Familiarity with MLOps concepts, monitoring, CI/CD, logging, and production reliability

Ability to work in ambiguous environments and independently drive technical initiatives

Strong communication skills and comfort working cross-functionally across multiple teams

Nice To Have
Experience with recommendation systems, personalization, marketing automation, or eCommerce products

Familiarity with Airflow, Trino, Grafana, Prometheus, or modern data stack tooling

Experience working in product companies or fast-moving startup environments

Strong software engineering fundamentals and system design skills

What Else Matters

Proactivity
We value people who take ownership, ask questions, and actively improve the systems around them.

Adaptability
AI evolves extremely fast. We’re looking for people who enjoy learning, experimenting, and evolving alongside the industry.

Product Mindset
We care about building useful products, not just technically impressive systems.

Communication
This role involves close collaboration across engineering, analytics, product, and business teams.

What We Offer
Salary in USD (B2B contract with a US company)

100% remote — we’re a remote-first company

Flexible working hours

20 paid vacation days per year

12 holidays per year

3 sick leave days

Medical insurance after probation

Equipment reimbursement (laptops, monitors, etc.)

Opportunity to work on cutting-edge AI initiatives with high ownership and real product impact

Hiring Process
Recruiter Call (up to 45 minutes)

Technical Interview (up to 1 hour)

Machine Learning System Design Interview (up to 1 hour)

Final Interview (up to 1 hour)