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.