Senior AI Engineer

Key Responsibilities AI Solution Development - Design, develop, and deploy AI/ML models and generative AI applications. - Build AI-powered solutions using large language models (LLMs), machine learning frameworks, and cloud AI platforms. - Develop AI agents, intelligent workflows, retrieval-augmented generation (RAG) systems, and automation solutions. - Integrate AI capabilities into enterprise applications and business processes. - Evaluate, fine-tune, and optimize AI models for performance, accuracy, scalability, and cost efficiency. Machine Learning Engineering - Develop and maintain machine learning pipelines from data preparation through model deployment. - Implement model training, testing, validation, monitoring, and continuous improvement processes. - Apply machine learning techniques including natural language processing (NLP), classification, prediction, recommendation, and anomaly detection. - Conduct model evaluation using appropriate metrics and business outcomes. Generative AI Engineering - Develop applications leveraging foundation models and LLM technologies. - Design effective prompt engineering strategies and reusable prompt frameworks. - Build RAG architectures using enterprise data sources, vector databases, and knowledge repositories. - Implement AI guardrails, security controls, responsible AI practices, and governance requirements. - Optimize AI applications for reliability, explainability, and user experience. Software Engineering & Integration - Write clean, maintainable, and production-quality code. - Develop APIs, microservices, and AI-enabled applications. - Integrate AI solutions with enterprise platforms, databases, and cloud environments. - Support DevOps, MLOps, CI/CD, and automated deployment processes. - Troubleshoot performance, reliability, and scalability issues. Collaboration & Delivery - Partner with AI Architects to implement enterprise AI strategies and technical designs. - Work with business analysts and stakeholders to translate business needs into AI solutions. - Participate in Agile development processes including planning, development, testing, and demonstrations. - Document AI solutions, technical designs, models, and operational procedures. - Stay current with emerging AI technologies, frameworks, and industry best practices. Skills: Llm, AI ML, Python Experience: 5.00-8.00 Years