Description
We are building TruAris, a modular AI-driven autonomous revenue intelligence platform. Your job is to build the core API + engine architecture that powers the system. This is a clean, structured, plug and play build. We’re looking for a skilled AI Engineer to help build and scale automation, intelligence, and LLM‑powered systems. You should be comfortable owning full‑stack AI development — from data pipelines to model deployment. Responsibilities Build and fine‑tune LLMs and ML models Create data pipelines and preprocessing flows Implement RAG, embeddings, and vector databases Deploy models via APIs/microservices Optimize inference speed, cost, and reliability Requirements Strong Python (FastAPI, LangChain, PyTorch/TensorFlow) Hands‑on experience with LLMs (OpenAI, Anthropic, local models) Experience with vector DBs (FAISS, Pinecone, Weaviate) Ability to write clean, modular, production‑ready code Familiarity with cloud (AWS/GCP/Azure) Nice to Have Experience with agents or workflow automation Knowledge of model security and prompt‑injection defense CI/CD for ML systems