About Elevator of ThingsWe're a team of grounded professionals who've spent our careers solving real problems in agriculture-not chasing trends. With decades of combined experience leading operations at a billion-dollar ag business, we've developed and refined a suite of internally built tools that are battle-tested, practical, and built for the everyday realities of the farm gate and beyond. Our background spans finance, operations, and technology, but our common thread is a commitment to solutions that actually work.
EoT offers something different: common-sense expertise rooted in the reality, not in a pitch deck. While much of today's ag-tech is shaped by venture capital and shiny promises, we believe the future belongs to tools that are simple, effective, and built in partnership with those who use them. If you're tired of buzzwords and are looking for grounded insights from people who've walked in your shoes, we're here to help.
About the role Elevator of Things is seeking an AI Data Engineer to build the data and AI foundation for a next-generation platform serving agricultural customers. This role will lead the development of backend services, APIs, data pipelines, AI infrastructure, and integrations that power the product. The engineer hired into this role will build the foundation that future platform development will rely on.
Financial, grain accounting, and agricultural industry experience are NOT required. Strong engineering experience is the priority. WHAT SUCCESS LOOKS LIKE The ideal candidate is someone who: - Seeking Master's or Doctoral Studies
- Takes ownership of systems from design through production
- Documents as they build
- Communicates blockers and risks early
- Understands the importance of accuracy, reliability, and source traceability
- Can build within an existing architecture and scale it over time
- Delivers production-quality software, not prototypes
WE'D LOVE TO SEE - Production RAG deployments serving real users
- Backend platforms built with Python and APIs
- Data pipeline ownership
- Complex system integrations
- Examples of solving performance, scalability, or reliability challenges
- Experience supporting business-critical applications
Requirements
Backend Engineering - Production Python development
- FastAPI or similar API frameworks
- SQLAlchemy or comparable ORM tools
- Experience shipping APIs and backend services used by real users
Data & Database Development - Strong SQL and relational database experience
- Ability to work within complex schemas and business data models
- Query optimization, indexing, and performance tuning
- Experience with ERP, operational, or other business-critical data systems
AI & RAG Systems - Experience building and deploying production RAG systems
- Vector database experience (Pinecone, pgvector, Chroma, Weaviate, or similar)
- Experience with embeddings, retrieval strategies, and grounded AI outputs
- Experience integrating LLMs into production applications
Integrations & Data Pipelines - Experience integrating third-party and enterprise APIs
- ETL pipeline design and support
- Webhooks, event-driven systems, and external data integrations
- Monitoring, alerting, reliability, and failure recovery practices
STRONG PLUS - LangGraph, CrewAI, or similar orchestration frameworks
- Celery, RQ, or other distributed task queue technologies
- Agent-based or event-driven architectures
- FinTech, SaaS, AgTech, ERP, or data-platform experience
- Experience building systems where accuracy and traceability are critical
We recognize that exceptional candidates may not meet every qualification listed. If you've built production backend, data, or AI systems and are excited about the opportunity, we encourage you to apply. We are hiring on a rolling basis. Please email resumes to:
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