Artificial Intelligence Engineer

Senior AI Engineer

Location: Ahmedabad, Gujarat

Employment Type: Full-TimeExperience: 3–7 Years

Department: AI & Machine LearningRole OverviewWe are looking for a Senior AI Engineer with expertise in Generative AI, Agentic AI, LLMs, and RAG architectures, complemented by a solid foundation in traditional machine learning.

You will build, evaluate, and deploy production-grade AI solutions with a strong focus on reliability, scalability, and code quality.Key ResponsibilitiesDesign and develop Generative AI applications using LLMs, prompt engineering, and structured outputs.Build advanced RAG pipelines using embeddings, hybrid search, reranking, and vector databases.Develop AI agents and workflows using LangGraph, LangChain, tool calling, and MCP where appropriate.Develop and deploy enterprise level applications using Azure AI services.Implement AI evaluation frameworks, automated regression testing, and quality metrics to assess accuracy, relevance, faithfulness, and task completion.Apply traditional ML techniques for classification, regression, predictive analytics, and NLP where required.Build data preprocessing, feature engineering, model training, and evaluation pipelines.Write clean, modular, testable, and maintainable Python code following software engineering best practices.Integrate AI solutions into production systems through APIs, with appropriate security, monitoring, and observability.Deploy and optimize AI applications on AWS, Azure, or GCP.Collaborate with cross-functional teams, contribute to architecture decisions, and mentor junior engineers.Required Skills & QualificationsBachelor's or Master's degree in Computer Science, AI/ML, or a related field.4–7 years of experience in AI/ML development and software engineering.Strong Python programming skills and experience with PyTorch, TensorFlow, or scikit-learn.Understanding of machine learning fundamentals, including classification, regression, model evaluation, and feature engineering.Hands-on experience with LLMs, Generative AI, RAG, embeddings, and vector databases.Experience with LangChain, LangGraph, or equivalent LLM orchestration frameworks.Understanding of AI agents, tool calling, workflow orchestration, and failure handling.Familiarity with evaluation frameworks such as RAGAS, DeepEval, or equivalent tools.Experience with APIs, automated testing, Git, CI/CD, databases, and cloud deployments.Knowledge of production monitoring, debugging, security, and performance optimization.Preferred QualificationsExperience with MCP, GraphRAG, multi-agent systems, and advanced retrieval techniques.Knowledge of LLM fine-tuning, LoRA/PEFT, and model optimization.Familiarity with Langfuse, LangSmith, Arize Phoenix, MLflow, Docker, and Kubernetes.Exposure to computer vision, multimodal AI, and MLOps/LLMOps practices.