AI Engineer

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Claude Grok

Perplexity Google

About the Role

Genorah's AI Lab builds production intelligence — not demos. You'll work on projects ranging from document processing pipelines to multi-agent workflow systems. Every model you deploy creates measurable value for our clients.

What You'll Do

Design and implement RAG pipelines, agent workflows, and fine-tuning strategies
Build data pipelines for training, evaluation, and continuous improvement
Deploy models to production with monitoring, versioning, and failover
Collaborate with full-stack engineers to integrate AI into client applications
Stay current with research and translate papers into working systems

Tech Stack

Python, PyTorch, LangChain, LangGraph, OpenAI, Anthropic, Pinecone, FastAPI, Docker, Kubernetes

Requirements

4+ years of experience in machine learning or AI engineering
Strong Python skills and experience with ML frameworks (PyTorch, TensorFlow, or JAX)
Experience building and deploying LLM-powered applications (RAG, agents, fine-tuning)
Familiarity with vector databases (Pinecone, Weaviate, or pgvector)
Understanding of MLOps practices and model serving infrastructure
Track record of shipping AI features to production