Full Stack AI Engineer

Roles:

• We are looking for a Full Stack AI Engineer to build and scale next-generation, AI-powered products. This role sits at the intersection of full-stack engineering, applied AI, and large language model systems. You will design, build, and optimize production-grade AI features that power intelligent, personalized, and real-time user experiences.
• You will work on LLM-driven applications, AI agents, adaptive learning systems, and scalable backend infrastructure while collaborating closely with product and design teams.

Responsibility:

• Design and build end-to-end AI-powered applications using modern frontend and backend frameworks
• Implement and optimize LLM-based workflows using OpenAI, Anthropic, Gemini, and open-source models
• Build RAG pipelines using vector databases (Pinecone, FAISS, Weaviate) and embedding models
• Develop AI agents using LangChain / LlamaIndex with tool usage and memory
• Implement prompt engineering, fine-tuning strategies, and cost-optimized inference pipelines
• Build real-time AI features using WebSockets and streaming APIs
• Integrate speech-to-text (STT) and text-to-speech (TTS) systems for multimodal experiences
• Design scalable backend services using FastAPI, Node.js, or Express
• Architect databases and caching layers using PostgreSQL, MongoDB, Redis
• Implement authentication, authorization, and security best practices (JWT, OAuth)
• Deploy and manage systems on AWS, GCP, or Azure using Docker, CI/CD, and serverless services
• Monitor, log, and optimize system performance, reliability, and costs
• Collaborate on analytics, A/B testing, and learning progress tracking

Requirements:

• Strong proficiency in Python and JavaScript/TypeScript
• Frontend experience with React.js and Next.js
• Backend expertise with FastAPI, Node.js, Express
• Hands-on experience with LLMs, prompt engineering, and AI APIs
• Experience building RAG systems and vector search pipelines
• Knowledge of NLP, multilingual AI handling, and embeddings
• Experience with real-time systems, streaming, and WebSockets
• Solid understanding of scalable system design and cloud infrastructure
• Strong problem-solving and architectural thinking skills