This is a 4-month internship (Sept. 1 - Dec. 31, 2025), with the possibility of extending into a full-time permanent role 🤖

JOB SUMMARY

Dreamwell AI is an investor-backed company redefining how brands run influencer campaigns. We recently raised a $3.1 million round led by billionaire Tim Draper, alongside top VCs like Panache Ventures, BDC Capital, and angel investors from Uber.

We’re building a smarter way for companies to execute high-performance influencer marketing — backed by real data, automation, and AI. This isn't another basic dashboard. We're designing a streamlined system to help brands run faster, more intelligent campaigns with minimal overhead.

We’re looking for a Software Engineer to join us at our downtown Toronto HQ. You’ll help build the core backend systems, data infrastructure, and AI integrations that power our platform. You’ll work across the stack — from ML model deployment to backend APIs and analytics pipelines — helping deliver performance, personalization, and insights at scale.

THE ROLE

As a Software Engineer at Dreamwell, you’ll:

• Own and contribute to core engineering projects as we scale
• Build robust, scalable backend and data systems, design APIs, and deploy ML pipelines that drive measurable results
• Collaborate closely with product, frontend, and ML teams to ship intelligent features and insights
• Work on systems that process high volumes of influencer, campaign, and performance data — powering smarter decisions for our customers

JOB RESPONSIBILITIES

Backend Responsibilities

• Build backend services and infrastructure with end-to-end ownership
• Work with TypeScript, Node.js, Python, Postgres, Redis, Elasticsearch, and ClickHouse
• Design and scale data pipelines for analytics and reporting
• Support new product lines like influencer CRM tools and testing frameworks
• Ensure backend services are fast, reliable, and secure

AI/ML Responsibilities

• Build AI agents that interface with internal tools and APIs
• Maintain vectorized data pipelines and stores (e.g., Pinecone) for ML tasks
• Work on retrieval-augmented generation pipelines for smarter recommendations
• Develop predictive models for campaign ROI and performance metrics
• Support personalization and ranking systems to improve decision-making

Data Engineering Responsibilities

• Build pipelines to ingest and process video data, campaign logs, influencer metrics, and user actions
• Expand querying capabilities around content signals and performance metrics
• Feed structured data into pricing, recommendation, and insight models
• Own reliability and accuracy of our data from ingestion to insight
• Help power our real-time decisioning engine for brands

REQUIRED SKILLS

• Experience owning backend engineering projects end-to-end
• Strong with backend frameworks like Node.js and Python
• Proficiency in Python, TypeScript, SQL/NoSQL systems
• Familiarity with modern data tooling (e.g., DBT, ETLs, analytics workflows)
• Experience with scalable APIs, infrastructure, and data pipelines
• Working knowledge of ML/retrieval systems (e.g., Pinecone, Elasticsearch, vector DBs)
• Understanding of statistical models and personalized ranking logic
• Bonus: experience in adtech, influencer data, or video platforms
• Most importantly: curiosity, ownership, and an eagerness to move fast with a high-talent team

WHY THIS ROLE IS UNIQUE

• You’ll build alongside engineers and founders with serious experience and vision
• Work closely with:
• Anthony, our CTO — former Staff Engineer who led Instacart’s enterprise API platform
• Our engineering team — includes top-tier builders from Waterloo with major hackathon wins and 3D software experience
• You’ll be part of core product decisions and see your work ship fast — no red tape
• What you build will directly power how brands grow and scale with influencer campaigns

CURRENT TECH STACK

Languages: Node.js, Python, TypeScript, Golang

Databases & Infra: Postgres, Redis, Elasticsearch, ClickHouse, Pinecone

ML/AI: RAG pipelines, personalization engines, embeddings, modeling

Data: DBT, ETLs, real-time and batch pipelines

Cloud: Scalable modern cloud infra

Sources: 12+ data feeds of influencer and campaign performance