Full-stack ai engineer

3 weeks ago

Bangalore, India Recro Full time

We are looking for a highly skilled Full-Stack AI Engineer who can design, develop, and deploy advanced AI-driven applications. The ideal candidate will have strong expertise in RAG (Retrieval-Augmented Generation) systems, vector databases , and end-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 implement RAG-based AI applications with optimized semantic search. Build and manage vector database solutions (Pinecone, Weaviate, Qdrant, FAISS). Develop and maintain production-ready ML systems ensuring performance and scalability. Apply prompt engineering techniques to fine-tune model interactions. Handle document chunking, embedding generation, and retrieval optimization . Integrate Lang Chain/Llama Index frameworks for orchestration. Implement caching strategies (Redis or similar) for efficiency. Collaborate with cross-functional teams to deliver end-to-end AI solutions. Core Skills Strong experience in RAG implementation . Expertise in vector databases (Pinecone, Weaviate, Qdrant, FAISS). Proficiency in semantic search optimization . Hands-on knowledge of production ML system deployment . Technical Requirements Proficient in Lang Chain, Llama Index . Experience with Open AI APIs, Hugging Face, Sentence Transformers . Strong programming skills in Python, Num Py , and ML libraries. Familiarity with prompt engineering best practices. Knowledge of document chunking techniques for retrieval systems. Experience with Redis or other caching mechanisms . Preferred Qualifications 3–6 years of experience in AI/ML engineering or full-stack development . Strong problem-solving and optimization skills. Experience working in fast-paced startup or product environments . Knowledge of cloud deployment (AWS, GCP, or Azure) is a plus. Why Join Us? Work with cutting-edge Generative AI and Retrieval systems . Opportunity to contribute to high-impact AI products in production. Collaborative, growth-oriented, and innovative work culture.

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