Senior AI Engineer

We are looking for an AI Engineer to design, develop, and deploy AI-powered applications and machine learning solutions. The role involves building LLM-based features, integrating AI models into production systems, and collaborating with software, data, and product teams to deliver scalable AI products. Key Responsibilities • Design, develop, and deploy AI/ML applications for production environments. • Build and integrate Large Language Model (LLM) solutions using APIs and open-source models. • Develop RAG (Retrieval-Augmented Generation) pipelines with vector databases. • Create and optimize prompts, AI agents, and workflow automation. • Fine-tune and evaluate machine learning and generative AI models. • Build scalable REST APIs and integrate AI services with existing applications. • Monitor model performance, improve accuracy, and optimize inference costs. • Collaborate with cross-functional teams to translate business requirements into AI solutions. Requirements • Bachelor's degree in Computer Science, AI, Data Science, or a related field. • 5+ years of experience in AI, Machine Learning, or Generative AI development. • Strong proficiency in Python. • Experience with LLM frameworks (LangChain, LlamaIndex, or similar). • Hands-on experience with OpenAI, Azure OpenAI, Claude, or open-source LLMs. • Knowledge of RAG, embeddings, and vector databases (Pinecone, Milvus, FAISS, ChromaDB). • Experience with PyTorch or TensorFlow. • Familiarity with Docker, Git, CI/CD, and cloud platforms (AWS, Azure, or GCP). • Good understanding of API development and system integration. Preferred Skills • Experience with AI agents and multi-agent architectures. • Knowledge of MLOps tools (MLflow, Weights & Biases, Kubeflow). • Experience deploying models on Kubernetes or cloud-native environments. • Understanding of NLP, computer vision, or speech AI is an advantage.