Artificial Intelligence Engineer

Title - AI Engineer Type - Contract Location - Remote - Key Responsibilities AI Model Development & Optimization : Design, fine-tune, and deploy ML and LLM-based models for NLP, generative AI, and automation features. AI Infrastructure & Deployment : Build scalable AI pipelines leveraging Azure ML, Kubernetes, and distributed computing. Integration & Orchestration : Work with LangChain, LlamaIndex, MS Graph API, and Copilot Studio for AI workflow integration. Real-Time AI Processing : Develop efficient microservice-based architectures for real-time inferencing. Performance Optimization : Monitor and improve model performance for accuracy, speed, and cost efficiency. Cross-Team Collaboration : Work closely with AI Strategists, engineers, and designers to ensure usability and alignment with business goals.. Required Qualifications Education : Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or a related field. Experience : 5+ years in AI / ML engineering with a track record of building and deploying AI models. Technical Skills : Expertise in AI / ML development and full lifecycle feature ownership. Strong proficiency in PyTorch, TensorFlow, Hugging Face Transformers, and OpenAI APIs. Hands-on experience with LLMs, NLP, and multimodal AI. Familiarity with tools like Azure ML, Kubernetes, LangChain, and Milvus. Soft Skills Proactive, self-driven, and independent Strong problem-solving abilities Ownership mentality with ability to take full responsibility for features Collaborative and communicative