Gen AI Engineer

Job Role : Gen AI Engineer with Python and AIML
Experience: 5-10 Years
Location: Pan India
Mode of Work : Work from Office
Responsibilities
LLM & Agentic Systems: Design, develop, and maintain multi-agent systems and applications using Large Language Models (LLMs).
RAG Implementation: Build and optimize Retrieval Augmented Generation (RAG) pipelines using vector databases and semantic search.
AI/ML Integration: Implement fine-tuning, prompt engineering techniques, and model evaluation to improve output reliability.
Software Engineering: Develop secure RESTful APIs, microservices, and backend services to integrate AI capabilities into existing products.
Data Processing: Preprocess, analyze, and manage large-scale structured and unstructured datasets for model ingestion
Qualifications
Required Qualifications
Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Required Skills
Core Languages: Strong proficiency in Python (data structures, algorithms, and OOPs).
AI/ML Stack: Deep understanding of deep learning, NLP, transformer architectures, and ML frameworks (e.g., PyTorch, TensorFlow).
Gen AI Frameworks: Hands-on experience with the Hugging Face ecosystem, LangChain, LlamaIndex, or AutoGen.
Databases: Experience with vector databases (e.g., Pinecone, Chroma, Milvus) and traditional relational/NoSQL databases (SQL, MongoDB)

Work arrangement
No