Machine Learning Engineer
RAD IntelCanada10 hours ago
Full-timeRemote FriendlyEngineering, Information Technology
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About RAD
RAD Intel is building the future of AI-powered growth. We’re a fast-scaling company backed by 10,000+ investors and $50M+ raised, with a mission to reinvent how businesses grow through our AIBO (Artificial Intelligence Buy-Out) strategy. RAD acquires and partners with agencies, clinics, and real-economy businesses, then infuses them with our proprietary AI marketing and operations platform to unlock compounding value. With a team of entrepreneurs, operators, and technologists, we’re driving one of the most ambitious AI strategies in the market—democratizing access to world-class AI tools while creating investor-grade outcomes at scale.
About The Role
We’re seeking a Machine Learning Engineer who thrives at the intersection of software development and applied ML. In this role, you’ll update and extend AI-powered features across multiple pipelines, with a focus on building conversational agents and multi-agent systems. Your experience in software development will be applied in code optimization and application development.
Key Responsibilities
RAD Intel is building the future of AI-powered growth. We’re a fast-scaling company backed by 10,000+ investors and $50M+ raised, with a mission to reinvent how businesses grow through our AIBO (Artificial Intelligence Buy-Out) strategy. RAD acquires and partners with agencies, clinics, and real-economy businesses, then infuses them with our proprietary AI marketing and operations platform to unlock compounding value. With a team of entrepreneurs, operators, and technologists, we’re driving one of the most ambitious AI strategies in the market—democratizing access to world-class AI tools while creating investor-grade outcomes at scale.
About The Role
We’re seeking a Machine Learning Engineer who thrives at the intersection of software development and applied ML. In this role, you’ll update and extend AI-powered features across multiple pipelines, with a focus on building conversational agents and multi-agent systems. Your experience in software development will be applied in code optimization and application development.
Key Responsibilities
- Collaborate with cross-functional teams on conversational AI and other chat bot related tools and LLM integrations.
- Work closely with the NLP team to release our own in-house LLMs.
- Support in building agent-based automation systems that power our chat bot systems and complete integration with our in-house LLMs.
- Build, test, optimize and deploy software components across our ML pipelines while also updating existing AI features with state-of-the-art models.
- Maintain robust infrastructure for data ingestion and fine tuning / re-training models.
- Stay current on advancements in generative content and advise / inform the team on updating our models / feature space.
- Must Have:
- 1–2 years of experience in software engineering.
- At least 3 years of experience in ML engineering.
- Experience in using python based application frameworks such as Flask and FastAPI.
- Familiarity with Model Context Protocol (MCP) schema design, prompt engineering and orchestration frameworks (e.g., LangChain, LangGraph, etc.)
- Familiarity with agent frameworks and distributed task coordination.
- Proficiency in Python and experience with ML tools (e.g., scikit-learn, Hugging Face, etc.).
- Understanding of ML operations and experiment tracking tools.
- Nice-to-have:
- Masters’ or PhD in a relevant field.
- Curiosity about LLMs and their focus in real-world applications such as social media based marketing campaigns.
- Experience with data streaming and real-time analysis is a plus.
- Collaborative, high-energy culture where your voice is heard
- Competitive compensation
- Comprehensive benefits (health, dental, vision, life insurance)
- Stock options — be an owner in our fast-growing startup
- Remote-flexible environment with a strong async culture
Key Skills
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