Senior AI/ML Lead Engineer

We're Hiring: Senior AI/ML Lead Engineer (Primoria AI)

Primoria AI is entering Year 2, and we're looking for a Senior AI/ML Lead Engineer to help build the infrastructure layer for the next generation of AI agents. This is a high-ownership, high-impact role. If you've shipped production ML systems, understand orchestration, and want to work on real problems — keep reading.

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About Primoria AI

Primoria AI builds memory-first, model-agnostic AI infrastructure. Our Router V3 powers adaptive inference across multiple models (OpenAI, Anthropic, Llama, open-source) with persistent memory, real-time web search, and enterprise-grade audit logging.

We're backed by Microsoft for Startups, AWS, GCP, and Cloudflare with $500K in cloud credits. 16x H100 cluster spinning up this week. 137 users in alpha. And we're open-sourcing our orchestration engine.

We move fast, ship real code, and value builders over talkers.

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The Role

This is not a "fine-tune a model and call it a day" role.

You'll be architecting and building core AI infrastructure — orchestration, memory systems, inference optimization, and multi-model routing. You'll work directly with the Founder/CEO and have real ownership over technical direction.

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Responsibilities

→ Design and implement production ML pipelines and inference systems

→ Optimize model serving (vLLM, TensorRT, quantization, batching)

→ Build and improve our multi-model orchestration layer (Router V3)

→ Develop persistent memory and RAG systems (Azure AI Search, vector DBs)

→ Train and fine-tune large language models (70B+ parameters)

→ Implement evaluation frameworks and observability

→ Contribute to open-source releases

→ Ship code. Every week.

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What We're Looking For

→ 5+ years in ML/AI engineering (production systems, not just notebooks)

→ Deep experience with LLMs, transformers, and inference optimization

→ Strong Python skills (FastAPI, async, production-grade code)

→ Experience with cloud infrastructure (Azure preferred, AWS/GCP also fine)

→ Familiarity with vLLM, DeepSpeed, or similar serving/training frameworks

→ Understanding of RAG, vector databases, and retrieval systems

→ Ability to work independently with minimal supervision

→ Bias toward shipping over perfecting

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Bonus Points

→ Experience with MoE architectures or multi-model routing

→ Contributions to open-source AI projects

→ Experience scaling ML systems to production traffic

→ Familiarity with AKS, Kubernetes, containerized ML deployments

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This Role Is Not

→ Entry-level or junior

→ A research-only position (we ship production code)

→ A role for someone who needs hand-holding

→ Remote-optional with "flexible" meaning "slow"

Ownership, speed, and craft are required.

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How to Apply

Send your resume, GitHub, and a short note on what you've shipped to: careers@primoria.com

Do not DM applications.

If you've read this far and thought "finally, a real engineering role" — we want to hear from you.

— AJ

Founder & CEO, Primoria AI