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Sr. AI Engineer at NovoEd, Inc.. Location Information: . About Us. . We’re a fast-growing product company integrating cutting-edge AI capabilities into our core offering to stay competitive and deliver exceptional value to customers. Our AI work spans task-specific ML models, large language model (LLM) integration, and agentic systems that orchestrate multiple tools to produce end-user results.. . We run a Python-based backend (FastAPI + Gunicorn + Nginx) with heavy background job processing using Celery. We’re looking for a senior-level AI Engineer who is equally strong in backend engineering and applied AI — capable of building production-grade systems that are fast, reliable, and maintainable.. . What You’ll Do. . . Design, develop, and deploy production-grade AI-powered backend systems.. . Integrate LLMs and traditional ML models into performant, scalable architectures.. . Integrate and optimize vector databases for retrieval-augmented generation (RAG) pipelines and other traditional ML queries.. . Write clean, well-structured, and testable Python code following best practices.. . Capable of thinking about performance and ensuring optimal decision making to reduce latency.. . Build hybrid architectures that balance LLM calls with traditional ML. . . Debug complex, cross-layer issues spanning backend, AI inference, and UI integration.. . Conduct thorough dev testing before QA handoff to ensure production reliability.. . Collaborate with product, backend, and frontend engineers to deliver cohesive solutions.. . . Must-Have Skills & Experience. . . 3–5+ years professional backend engineering experience in Python, FastAPI or Flask, and background processing.. . Proven record of deploying Python applications to production (not just scripts or academic work).. . Strong grasp of software design patterns . . Strong understanding of backend performance, parallel processing in background jobs and multi-threading. . Proficiency in performance tuning specially for heavy AI models. . Applied machine learning experience — training, evaluating, and maintaining small task-specific models.. . Familiarity with LLM integration, prompt engineering, and context window optimization.. . Proven ability to debug AI behavior, identify root causes, and make targeted fixes.. . Strong testing discipline for both backend and AI components.. . Experience with background processing with Celery or other major libraries. . Experience with monitoring APIs and background processing . . Experience with ensuring visibility and error reporting. . . Nice to have: experience with Docker, understanding of CI/D, deployment automation and Kubernetes. . . Who Will Succeed in This Role. . . Independent problem solver — you can debug without constant supervision.. . Production mindset — you understand that reliability, scalability, and maintainability matter as much as accuracy.. . System thinker — you see backend, AI, and UI as a connected whole.. . . Why Join Us. . . Direct impact on the company’s competitive edge.. . Small, fast-moving team with high autonomy.. . Work on practical, real-world AI applications — not just research.. . Opportunity to shape our AI architecture and best practices from the ground up.. . . If you’re a backend-first AI engineer who thrives in shipping production-ready systems and knows how to make AI practical, fast, and reliable — we’d love to talk.