Generative AI Engineer

Location: Canada Contract Role We are seeking a skilled LLM Engineer to design, develop, fine-tune, and deploy Large Language Model (LLM)-based solutions. The ideal candidate will work closely with product managers, and software engineers to build scalable, secure, and high-performance AI applications powered by state-of-the-art language models. Key Responsibilities

Design, develop, and deploy applications using Large Language Models (LLMs) such as GPT, Claude, LLaMA, or similar Fine-tune, evaluate, and optimize LLMs for domain-specific use cases Implement prompt engineering, retrieval-augmented generation (RAG), and agent-based workflows Build scalable APIs and services to integrate LLMs into production systems Optimize model performance, latency, and cost Ensure responsible AI practices, including data privacy, bias mitigation, and security Collaborate with cross-functional teams to translate business requirements into AI solutions Monitor and improve model outputs through continuous evaluation and feedback loops Stay current with advancements in NLP, LLM frameworks, and AI research Required Qualifications

Hands-on experience with LLMs and NLP techniques Experience with frameworks such as LangChain, LlamaIndex, Hugging Face, OpenAI APIs, or similar Understanding of machine learning concepts, transformers, and deep learning Experience building and deploying cloud-based applications (AWS, Azure, or Google Cloud Platform) Familiarity with REST APIs, microservices, and containerization (Docker, Kubernetes) Experience with Vertex AI in GCP Preferred Qualifications

Experience with fine-tuning open-source LLMs Knowledge of vector databases (FAISS, Pinecone, Weaviate, Chroma, etc.) Experience with MLOps tools and CI/CD pipelines Exposure to reinforcement learning, evaluation metrics, or synthetic data generation Prior experience working on production AI systems

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