AI Engineer

Responsibilities:     AI ApplicationDevelopment • Develop AI-enabled applications using LLMs, agents, and RAG architectures • Build and integrate chat-based, voice-enabled, and AI agents • Apply prompt engineering, tool calling, and multi-agent orchestration • Prototype and refine AI workflows using modern AI frameworks • Continuously improve solution quality, accuracy, and performance       Full-StackEngineering • Develop frontend interfaces for applications and demonstrations (React / Next.js or similar frameworks) • Build backend APIs and services using Node.js, Python, or FastAPI • Integrate databases, vector stores, and cloud services • Connect AI solutions with enterprise systems      POC, Demo& Product Support • Develop structured proofs of concept and customer demonstrations • Support client-specific configurations and controlled experiments • Transition successful POCs into maintainable, reusable product features • Troubleshoot issues, optimize system performance, and improve reliability       Platform& Engineering Collaboration • Work closely with cross-functional teams to convert use cases into technical solutions • Contribute to shared components, platform architecture, and engineering standards • Document designs, patterns, and implementation approach Key Technical Skills & Responsibilities   Must-Have • Strong fundamentals in software engineering (data structures, APIs, web applications) • Experience with full-stack development (frontend and backend) • Hands-on exposure to LLMs / Generative AI APIs (OpenAI, Anthropic, etc.) • Proficiency in JavaScript / TypeScript or Python • Experience designing and consuming REST APIs • Familiarity with Git and standard development workflows • Ability to work independently, manage tasks, and take ownership • Strong analytical and problem-solving mindset Good to Have (Not Mandatory) • Experience with RAG architectures and vector databases (Pinecone, Milvus, FAISS, etc.)