Founding AI Engineer
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Job Description
Founding AI Engineer at Paradox Machines, building AI applications and data infrastructure for a data-driven company. Collaborating with a senior team and solving real-world problems with AI.
Responsibilities:
- You'll design and maintain the infrastructure that powers client deliverables - ingestion pipelines, data models, transformation layers, and the orchestration that keeps it all running.
- You'll build and ship AI applications - not prototype them. That means writing production-grade code, designing agent workflows, and integrating LLMs into systems where accuracy and reliability actually matter.
- You'll architect agent systems with clear evaluation criteria, human-in-the-loop checkpoints where they matter, and monitoring that tells you when something goes wrong.
- You'll own deployment end-to-end - containerized services, Kubernetes orchestration, cloud infrastructure, and the CI/CD pipelines that keep everything moving.
- As a founding engineer, you'll help identify what we build repeatedly across engagements and turn it into durable internal infrastructure - shared data models, evaluation frameworks, deployment patterns.
Requirements:
- 5-8 years of software engineering experience, with meaningful time and familiarity with building data systems or AI-driven applications in production.
- Hands-on experience with modern data engineering practices: pipeline orchestration, data modeling, transformation frameworks, cloud infrastructure. You don’t need to be a data engineer, but we are building a data platform.
- Experience deploying and operating production systems - Kubernetes, Docker, CI/CD, cloud platforms (AWS or GCP). Pipelines break. We need to fix them.
- Experience building with LLMs in production - prompt engineering, RAG, agent frameworks, evaluation pipelines. You've shipped things that real users rely on. You will build both with AI and build the agents within the platform.
- Comfort designing agentic workflows where the AI does meaningful work but accountability stays with the system. You are accountable for everything AI does.
- A bias for doing: you'll write the query, sketch the schema, or spin up the prototype if that's what moves things forward. We learn something new with every deployment.
- Genuine curiosity about what AI can do next - and the technical discipline to build it responsibly. We are an AI-native company. You’ll be pushing us forward.
Benefits:
- Competitive base salary + performance bonus
- 401(k) Plan
- Health and Wellness
- Medical, dental, and vision coverage
- Unlimited PTO
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