Full-Stack AI Engineer

We are looking for a highly skilledFull-Stack AI Engineerwho can design, develop, and deploy advanced AI-driven applications. The ideal candidate will have strong expertise inRAG (Retrieval-Augmented Generation)systems,vector databases , andend-to-end ML pipelines . You will be working on scalable, production-grade AI solutions leveraging state-of-the-art frameworks and cloud-native technologies. Key Responsibilities Design and implementRAG-based AI applicationswith optimized semantic search. Build and managevector database solutions(Pinecone, Weaviate, Qdrant, FAISS). Develop and maintainproduction-ready ML systemsensuring performance and scalability. Applyprompt engineering techniquesto fine-tune model interactions. Handledocument chunking, embedding generation, and retrieval optimization . IntegrateLangChain/LlamaIndexframeworks for orchestration. Implementcaching strategies(Redis or similar) for efficiency. Collaborate with cross-functional teams to deliver end-to-end AI solutions. Core Skills Strong experience inRAG implementation . Expertise invector databases(Pinecone, Weaviate, Qdrant, FAISS). Proficiency insemantic search optimization . Hands-on knowledge ofproduction ML system deployment . Technical Requirements Proficient inLangChain, LlamaIndex . Experience withOpenAI APIs, Hugging Face, Sentence Transformers . Strong programming skills inPython, NumPy , and ML libraries. Familiarity withprompt engineeringbest practices. Knowledge ofdocument chunking techniquesfor retrieval systems. Experience withRedis or other caching mechanisms . Preferred Qualifications 3–6 years of experience inAI/ML engineering or full-stack development . Strong problem-solving and optimization skills. Experience working infast-paced startup or product environments . Knowledge ofcloud deployment (AWS, GCP, or Azure)is a plus. Why Join Us? Work with cutting-edgeGenerative AI and Retrieval systems . Opportunity to contribute tohigh-impact AI productsin production. Collaborative, growth-oriented, and innovative work culture.

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