Senior GenAI Engineer / Data Scientist

Role Summary: 

• We need a skilled Senior AI Engineer to build and scale enterprise-grade Generative AI solutions. 

• You will design retrieval-augmented generation (RAG) pipelines, fine-tune large language models, and build robust data architectures, bridging the gap between heavy data engineering and advanced AI model deployment. 

Key Responsibilities:

• Design and deploy end-to-end GenAI and LLM-based applications into production.

• Build scalable RAG architectures using vector databases and semantic search.

• Optimize data pipelines to ingest, clean, and process multi-source data for AI models.

• Fine-tune, evaluate, and prompt-engineer open-source and proprietary LLMs.

• Integrate AI services with cloud infrastructure and existing enterprise applications.

• Monitor model performance, latency, cost, and safety guardrails. 

Required Skills: 

• Minimum 8 to 10 years of experience in IT Industry with 3 to 5 years in AI, LLM implementation, and Data Engineering

• Generative AI & LLMs: RAG frameworks (LangChain, LlamaIndex), vector databases (Pinecone, Milvus, Qdrant), prompt engineering, and LLM fine-tuning.

• Data Engineering: Python, SQL, ETL pipelines, Apache Spark, Kafka, and data warehousing. 

• Cloud & MLOps: AWS, GCP, or Azure; Docker, Kubernetes, and MLflow/Kubeflow.

• Software Engineering: Clean code practices, REST APIs, and microservices architecture.