About us Arvya Tech is aservice-first AI & SaaS startupdelivering production-grade AI solutions for multiple clients across industries. Our work focuses on buildingscalable, secure, and high-performance AI-powered applicationsrather than research prototypes. We are looking for ahands-on AI Engineerwho can take ownership ofend-to-end AI feature delivery , from design and implementation to deployment, monitoring, and optimization, while managing multiple projects in parallel.What you’ll own Design, build, and operateLLM-based featuresusingRetrieval-Augmented Generation (RAG) , vector databases, and embeddings. Develop and maintainAI-powered SaaS applicationsusing Python. Deploy, manage, and monitorproduction-grade AI services on Microsoft Azure . ImplementCI/CD pipelinesfor AI and backend services. Ensurehigh availability, low latency, and traffic handlingfor concurrent users. Monitor applications using logging, metrics, and alerts; troubleshoot production issues. Optimize performance and cost using caching, batching, async processing, and efficient architecture. Managemultiple client projects simultaneouslywith strong ownership. Collaborate with frontend, backend, DevOps, and product teams. Mentor junior engineers and contribute to technical reviews and delivery planning.Must-have qualifications 2–3 years of professional experiencebuilding and deploying production software. Strong proficiency inPython(FastAPI/Flask, async programming). Hands-on experience withLLMs and RAG systems(embeddings, vector stores, retrieval, prompt engineering). Experience deploying and managingproduction applications . SolidAzure experience(Azure App Service, Azure ML, Azure OpenAI, AKS or similar). Experience withDockerand basic Kubernetes concepts. Familiarity withCI/CD pipelines , monitoring, and incident handling. Experience designing systems forscale, traffic management, and performance . Ability to multitask and managemultiple deliverablesin a service-based environment. Strong communication skills and experience working with clients or cross-functional teams.Nice-to-have Experience withLangChain, LlamaIndex, or similar LLM orchestration tools . Familiarity withvector databases(FAISS, Pinecone, Weaviate, etc.). Exposure toSaaS multi-tenant architectures . Experience withRedis, PostgreSQL, MongoDB . Basic knowledge ofMLOps practices(model versioning, monitoring, retraining workflows).What we offer Competitive compensation based on experience. Hybrid working model. Opportunity to work onreal-world AI systems used by paying clients . Ownership of projects from design to production. Fast growth path towardSenior AI Engineer / Tech Leadroles. Startup environment with high impact and learning velocity.How to apply Send your resume and a brief note describing aproduction AI or SaaS projectyou worked on (architecture overview or repo link encouraged). Email:info@ Subject line format:1114 – AI Engineer
Job Title
Artificial Intelligence Engineer