Senior AI / ML Engineer

Senior AI / Machine Learning Engineer

Location: Denver Tech Center (hybrid)

Reports to: CTO BulkSource is digitizing the construction materials industry – a multi-billion-dollar market that’s never been properly automated. We’re a founder-led company with multiple exits building real infrastructure for how materials move across America. We’re hiring a Senior AI / Machine Learning Engineer to design and deploy production AI systems that automate complex operational workflows across our platform. This is a hands-on engineering role focused on building, deploying, and integrating AI capabilities into a production SaaS platform. You’ll work across LLM systems, predictive models, and production infrastructure to bring AI-powered features into real-world use. The Role

You will

Build and deploy AI-powered features embedded in our SaaS platform

Develop retrieval-augmented generation (RAG) pipelines using proprietary industry data

Fine-tune and deploy LLMs for domain-specific workflows

Design AI agents that automate complex operational tasks

Build predictive models for logistics, demand forecasting, and operational optimization

Develop APIs and services that expose AI capabilities across the platform

Work closely with product and engineering to integrate AI systems into production You’ll balance model development, experimentation, and production engineering to deliver reliable AI systems that solve real operational problems. What We’re Looking For

3+ years of hands-on AI / ML engineering experience delivering production systems

Strong Python programming skills and ML development experience

Experience building and deploying machine learning models using frameworks such as PyTorch, scikit-learn, or similar

Experience building RAG pipelines and working with LLM APIs (OpenAI, Anthropic, or similar)

Familiarity with vector databases such as FAISS, Pinecone, ChromaDB, or Weaviate

Experience building APIs and services for ML systems using frameworks like FastAPI or Flask

Experience deploying ML models in cloud environments (Azure preferred)

Strong data handling skills using pandas, NumPy, and SQL

Nice to have

Experience with LangChain, LlamaIndex, or similar agent frameworks

Experience deploying ML models using Docker or Kubernetes

Background in logistics, supply chain, or operational optimization You’re curious, practical, and comfortable working with messy real-world data to deliver production systems.

What Success Looks

Like

30 Days: Understand BulkSource data systems and identify early opportunities for AI-driven automation.

60 Days: Ship initial AI features such as document extraction, operational copilots, or internal AI tools.

90 Days: AI systems are live in production supporting logistics coordination, forecasting, and workflow automation.

Why Join

BulkSource

Build AI systems that automate real-world industrial workflows

Work directly with founders and technical leadership

Ship AI features quickly in a high-autonomy environment

Competitive compensation + meaningful equity

Modern stack: Python, Django, React, Azure, LLM integrations How to Apply

Send your resume to: careers@bulksource.com