Gen AI Engineer
2 weeks ago
We are seeking a highly skilled Generative AI Engineer with 4–7 years of professional experience to design, develop, and optimize GenAI solutions. The ideal candidate will have strong expertise in Retrieval-Augmented Generation (RAG) architecture, unstructured data processing, vector database management, and cloud-based data engineering using GCP technologies.
Required Skills
- Strong understanding of RAG (Retrieval-Augmented Generation) architecture.
- Hands-on experience with data ingestion and processing of unstructured files (PPTX, DOCX, PDF).
- Practical experience in vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus).
- Proficiency in Python for AI pipeline development and SQL for complex queries.
- Exposure to GCP services (BigQuery, Dataflow, GCS, Pub/Sub).
- Familiarity with DevOps processes such as CI/CD, containerization (Docker), and orchestration (Kubernetes).
- Strong problem-solving and debugging skills.
Nice-to-Have
- Knowledge of Graph Databases (e.g., Neo4j, TigerGraph).
- Experience contributing to end-to-end GenAI product deployment in production.
- Exposure to ML model fine-tuning and optimization for domain-specific use cases.
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