Python/AIML Engineer

Python/AIML Engineer Toronto (Canada) or Mt Laurel (NJ) – 4 days/week in office Qualifications We are seeking a Python Developer to join our team and contribute to the design, development, and deployment of Model Context Protocol (MCP)–based applications in the AI/ML space. The ideal candidate will have strong Python programming skills, experience with AI/ML frameworks, and an interest in building scalable, context-driven solutions for enterprise use cases. Key Responsibilities • Design, develop, and maintain Python applications leveraging the Model Context Protocol (MCP). • Integrate MCP with AI/ML models, APIs, and data pipelines. • Build scalable services for real-time and batch processing of AI workflows. • Collaborate with data scientists, ML engineers, and product teams to implement AI-driven solutions. • Optimize performance and reliability of AI applications and services. • Write clean, efficient, and well-documented code following best practices. • Participate in code reviews, testing, and deployment processes. • Stay updated with the latest advancements in AI, LLMs, and MCP. Required Qualifications • Proficiency in Python and related libraries/frameworks (FastAPI, Flask, Django). • Solid understanding of AI/ML concepts and experience working with frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. • Hands-on experience with MCP (Model Context Protocol) or similar context-aware integration frameworks. • Strong knowledge of RESTful APIs, WebSockets, and microservices architectures. • Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). • Experience with data integration, vector databases (e.g., Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG). • Strong problem-solving and debugging skills. Nice to Have • Experience working with LLM orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel). • Background in MLOps (CI/CD for ML, model deployment pipelines). • Knowledge of enterprise AI security, data governance, and compliance practices. • Contributions to open-source AI/LLM projects. Education & Experience • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. • 3+ years of professional Python development experience (AI/ML project experience preferred).