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