AI Engineer (RAG / LLM / GenAI)

We are seeking a highly skilled AI Engineer with deep expertise in Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). This role will focus on building scalable AI solutions that enhance enterprise applications, automate workflows, and enable intelligent decision-making.

You will work closely with Data Engineers, ML Engineers, and Product teams to design and deploy cutting-edge AI systems in production environments.

Key Responsibilities

• Design and implement RAG-based architectures integrating LLMs with enterprise data sources
• Develop, fine-tune, and optimize Large Language Models (LLMs) for domain-specific use cases
• Build end-to-end GenAI applications (chatbots, copilots, summarization, Q&A systems)
• Develop scalable pipelines for data ingestion, embedding, vector search, and retrieval
• Apply Deep Machine Learning techniques for model training, evaluation, and optimization
• Integrate AI solutions with APIs, microservices, and cloud platforms
• Ensure model performance, scalability, and security compliance
• Collaborate with cross-functional teams to translate business problems into AI solutions
  
  

Must-Have Skills

• Strong hands-on experience with:
• RAG (Retrieval-Augmented Generation) frameworks
• LLMs (e.g., GPT, LLaMA, Claude, etc.)
• Generative AI application development
• Deep understanding of Machine Learning & Deep Learning concepts
• Experience with:
• Python, PyTorch, TensorFlow
• Vector databases (Pinecone, FAISS, Weaviate, Chroma)
• Embedding models and semantic search
• Experience with prompt engineering and LLM fine-tuning
• Strong knowledge of APIs, microservices, and system design