Artificial Intelligence Engineer

About the job: About us Arvya Tech is a service-first AI & SaaS startup delivering production-grade AI solutions for multiple clients across industries. Our work focuses on building scalable, secure, and high-performance AI-powered applications rather than research prototypes. We are looking for a hands-on AI Engineer who can take ownership of end-to-end AI feature delivery, from design and implementation to deployment, monitoring, and optimization, while managing multiple projects in parallel. What youll own • Design, build, and operate LLM-based features using Retrieval-Augmented Generation (RAG), vector databases, and embeddings. • Develop and maintain AI-powered SaaS applications using Python. • Deploy, manage, and monitor production-grade AI services on Microsoft Azure. • Implement CI/CD pipelines for AI and backend services. • Ensure high availability, low latency, and traffic handling for concurrent users. • Monitor applications using logging, metrics, and alerts; troubleshoot production issues. • Optimize performance and cost using caching, batching, async processing, and efficient architecture. • Manage multiple client projects simultaneously with strong ownership. • Collaborate with frontend, backend, DevOps, and product teams. • Mentor junior engineers and contribute to technical reviews and delivery planning. Must-have qualifications • 23 years of professional experience building and deploying production software. • Strong proficiency in Python (FastAPI/Flask, async programming). • Hands-on experience with LLMs and RAG systems (embeddings, vector stores, retrieval, prompt engineering). • Experience deploying and managing production applications. • Solid Azure experience (Azure App Service, Azure ML, Azure OpenAI, AKS or similar). • Experience with Docker and basic Kubernetes concepts. • Familiarity with CI/CD pipelines, monitoring, and incident handling. • Experience designing systems for scale, traffic management, and performance. • Ability to multitask and manage multiple deliverables in a service-based environment. • Strong communication skills and experience working with clients or cross-functional teams. Nice-to-have • Experience with LangChain, LlamaIndex, or similar LLM orchestration tools. • Familiarity with vector databases (FAISS, Pinecone, Weaviate, etc.). • Exposure to SaaS multi-tenant architectures. • Experience with Redis, PostgreSQL, MongoDB. • Basic knowledge of MLOps practices (model versioning, monitoring, retraining workflows). What we offer • Competitive compensation based on experience. • Hybrid working model. • Opportunity to work on real-world AI systems used by paying clients. • Ownership of projects from design to production. • Fast growth path toward Senior AI Engineer / Tech Lead roles. • Startup environment with high impact and learning velocity. How to apply Send your resume and a brief note describing a production AI or SaaS project you worked on (architecture overview or repo link encouraged). Email: info@arvya.in Subject line format: 1114 AI Engineer Who can apply: Only those candidates can apply who: • have minimum 2 years of experience • are Computer Science Engineering students Salary: Competitive salary Experience: 2 year(s) Deadline: 2035-01-01 00:00:00