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