AI Engineer

About the job

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 applySend 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.inSubject line format: 1114 AI EngineerWho can apply:Only those candidates can apply who:• have minimum 2 years of experience• are Computer Science Engineering students

Requirements

• AI feature delivery
• LLM-based features
• Azure
• Python
• SaaS applications

Qualifications

• 2+ years of professional experience
• Strong proficiency in Python

Preferred Technologies

• AI feature delivery
• LLM-based features
• Azure
• Python
• SaaS applications

About the company

Arvya Tech is a service-first AI & SaaS startup delivering production-grade AI solutions for multiple clients across industries.