About us

Nativ is building the AI-native orchestration layer for industrial operations.

Our initial product focuses on order processing across Customer Service and Supply teams - an area that remains largely manual, fragmented across emails, EDI, and customer portals, and deeply inefficient. Today, companies still process thousands of B2B orders every day, representing millions in value, through sub-optimal workflows. This process is ripe for automation, and we believe the space is on the verge of a major transformation.

Using AI, we help operational teams collect, understand, and secure customer orders before they reach the ERP. And automate at scale their operations.

Our long-term ambition is to become a true Operating System for industrial workflows

We’ve just closed a pre-seed round with top-tier VCs and are now entering a critical phase: structuring our go-to-market, accelerating traction, and iterating closely with our first customers.

The Role

You'll join as one of our first engineers, working directly with the founders and the early team to build the core AI and backend systems that power our platform. As a founding engineer, you'll have end-to-end ownership across the stack — shaping our technical architecture, pushing the boundaries of our AI capabilities, and helping define the engineering culture of the company.

This is a foundational role: the systems, patterns, and product decisions you help create will become the backbone of the company as we scale.

On a typical day you might:

• Design and build our agentic platform – developing the workflow engine that orchestrates agents and sub-agents, and expanding the capabilities of our agentic architecture.
• Engineer state-of-the-art AI agents – building the appropriate harnesses, fine-tuning LLMs on specific tasks when relevant, and generally leveraging the latest AI research & engineering best practices
• Build the core platform infrastructure, including tooling for running, monitoring, and evaluating AI systems and agent workflows.
• Architect scalable backend systems that power the core product and support scalable, reliable agent execution.
• Build robust data ingestion pipelines working with a variety of structured sources (e.g. APIs, ERPs, SFTPs) as well as semi-structured & unstructured documents (e.g. emails, PDFs, Excel)

Our Tech Stack

• Backend: Python, FastAPI, PostgreSQL, Redis on the AI side; Ruby/Rails on the platform side.
• AI/ML: AWS Bedrock, LangChain/LangGraph, vector databases, prompt engineering
• Infrastructure: AWS, Kubernetes, GitHub Actions
• Monitoring: Langfuse, Sentry, Kibana

(Our stack evolves based on what solves problems best – you'll help shape these decisions)

What We're Looking For

Hard Skills

• 5+ years of backend engineering experience in production environments, preferably at a fast-scaling startup or tech company
• Strong software engineering fundamentals – you write clean, maintainable code and care about architecture