Generative AI Engineer

Position: Generative AI Engineer Experience: 5–8 Years Location: Remote Key Responsibilities Design, develop, and deploy RAG-based LLM applications for enterprise use cases Build and manage scalable document ingestion, embedding, and retrieval pipelines Implement LangChain components including chains, agents, prompt flows, and tools Integrate and manage vector databases such as FAISS, Pinecone, Chroma, and Weaviate Develop and maintain ETL/ELT pipelines using Python, Airflow, Kafka, and Spark Deploy AI/ML solutions on AWS, Azure, or GCP with CI/CD pipelines Collaborate with data engineers, architects, and product owners to deliver solutions Required Skills & Experience 5–7+ years of experience in AI/ML, Data Engineering, or Software Development Strong hands-on experience with RAG architectures and vector databases Expertise in LangChain or LlamaIndex and LLM API integrations Solid understanding of data pipelines, ETL/ELT processes, and cloud platforms Proficiency in Python, REST APIs, SQL/NoSQL databases, Docker, and Kubernetes Preferred Skills Experience with LLM fine-tuning techniques such as LoRA Knowledge of semantic search, embeddings, and MLOps/LLMOps practices Exposure to enterprise domains such as Telecom, BFSI, Retail, or Healthcare Job Type: Full-time Work Location: Remote