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About This Role
Design and deploy intelligent systems across the entire Orevida portfolio. From recommendation engines on the members platform to automated deal analysis for the investment team, content intelligence pipelines for the media arm, and predictive analytics for portfolio companies. Your work will touch every sector.
We are building an ecosystem where AI is not a feature but the operating system. Every company in the portfolio will benefit from shared intelligence infrastructure. You will be the architect of that infrastructure.
This role sits at the intersection of research and production. We do not need papers. We need shipping engineers who understand transformer architectures, can fine-tune models, and can deploy them behind APIs that non-technical teams rely on daily.
Compensation
Competitive salary + ORE allocation (profit participation) + Full Orevida membership + Annual team retreats
What You Will Do
Build and deploy ML models and LLM-powered features across ecosystem products
Design the AI infrastructure layer shared by all portfolio companies
Develop content intelligence systems (scoring, recommendation, trend detection) for Orevida Media
Build automated deal analysis and financial modeling tools for the investment team
Create data pipelines that aggregate insights across sectors
Collaborate with product teams to identify high-impact AI use cases
Monitor model performance, implement feedback loops, and iterate on accuracy
What You Bring
4+ years of professional ML/AI engineering experience
Production experience with LLMs (GPT, Claude, open-source models), RAG architectures, and embedding-based systems
Strong Python skills with experience in PyTorch, TensorFlow, or JAX
Proficiency in building and deploying ML APIs (FastAPI, Flask, or equivalent)
Experience with vector databases (Pinecone, Weaviate, pgvector)
Solid understanding of MLOps: model versioning, A/B testing, monitoring
Ability to communicate technical concepts to non-technical stakeholders
Experience building multi-agent systems or autonomous workflows
Background in NLP, computer vision, or recommendation systems
Familiarity with financial data analysis and predictive modeling
Experience with fine-tuning and deploying open-source models at scale
Why Orevida
You will not just work on one product. At Orevida, your work impacts ventures across every sector simultaneously. Every system you build, every process you improve, every creative you produce compounds across the entire ecosystem.
Performance bonuses in ORE profit-participation units tied to ecosystem growth.
Complete access to the Orevida members platform, network, and events.
Move between sectors as you grow. Your career has no ceiling. It has an ecosystem.
Apply Now
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