AI Engineer

Title: AI Engineer Location: PAN India Exp: 5+ Yrs Job Description: Key Responsibilities Design, develop, and deploy AI/ML solutions to address business challenges. Build, train, fine-tune, and optimize Machine Learning and Generative AI models. Develop AI-powered applications using Python and leading AI/ML frameworks.

Implement Large Language Model (LLM) solutions, prompt engineering, and Retrieval-Augmented Generation (RAG) pipelines. Build and maintain scalable AI services, APIs, and model deployment pipelines. Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions.

Optimize model performance, scalability, and inference efficiency. Monitor AI models in production and ensure reliability, security, and compliance. Stay up to date with emerging AI technologies and recommend innovative solutions.

Required Skills Minimum 5+ years of relevant experience in AI/ML Engineering . Strong proficiency in Python ( Mandatory ). Hands-on experience with Machine Learning , Deep Learning , and Generative AI .

Experience with frameworks such as TensorFlow , PyTorch , Scikit-learn , or Keras . Strong knowledge of Large Language Models (LLMs) , Prompt Engineering , RAG , Embeddings , and Vector Databases . Experience with AI orchestration frameworks such as LangChain or LlamaIndex .

Knowledge of REST APIs, Microservices, and model deployment. Experience with cloud platforms such as AWS , Azure , or GCP and their AI/ML services. Strong understanding of SQL, data preprocessing, feature engineering, and model evaluation.

Familiarity with Git , Docker , Kubernetes , and CI/CD pipelines. Excellent analytical, problem-solving, and communication skills. Preferred Skills Experience with OpenAI , Azure OpenAI , Amazon Bedrock , or Google Vertex AI .

Knowledge of MLOps tools such as MLflow , Kubeflow , or SageMaker . Experience with vector databases such as Pinecone , Milvus , Weaviate , or ChromaDB . Exposure to NLP, Computer Vision, or Recommendation Systems.

AI/ML or cloud certifications are an added advantage.