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Artificial Intelligence Engineer

Tekshapers Inc — Canada · Posted ~1 day ago

Mid Full-time

Skills

Python Java R SQL ReactJS HTML CSS Node.js TensorFlow Keras PyTorch Generative AI NLP NLU Large Language Models Prompt Engineering LangChain Agentic Systems Vector Databases RAG Semantic Search Embeddings Microservices Architecture REST APIs API Integration LangGraph Ollama Microservices

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Summary

Join a technical team building sophisticated AI-driven and full-stack solutions. You will work across machine learning, generative AI, large language models, prompt engineering, agentic workflows, retrieval systems, vector databases, and scalable APIs. The role also involves frontend and backend development, microservices, automated integrations, and modern engineering architectures.

Highlights

Work on advanced AI and generative AI solutions spanning large language models, agentic systems, retrieval-augmented generation, and scalable software architecture. The role combines machine learning with full-stack development and offers exposure to modern AI frameworks and cloud-ready engineering practices.

Description

Artificial Intelligence Engineer Full Time Toronto , ON Required Skills & Technical Expertise Programming & Full Stack Development • Proficiency in Python, Java, R, and SQL. • Frontend and full stack development experience with ReactJS, HTML, CSS, and Node.js. AI / ML & Generative AI • Hands-on experience with TensorFlow, Keras, and PyTorch. • Strong foundations in Generative AI, NLP, and NLU. • Expertise working with Large Language Models (LLMs) and prompt engineering. Agentic & GenAI Frameworks • Experience with LangChain and familiarity with LangGraph and Ollama. • Understanding of agentic system design, tool use, and workflow orchestration patterns. Retrieval & Knowledge Foundations • Strong knowledge of vector databases, RAG pipelines, semantic search, and embedding techniques. Architecture, APIs & Microservices • Demonstrated experience in microservices architecture, service-oriented design, and building scalable REST APIs. • Expertise in API-driven development and integration patterns. Model Deployment & DevOps • Experience with model packaging, containerization, deployment pipelines, and operational monitoring. • Hands-on experience with GitHub, GitHub Actions, and CI/CD automation. • Familiarity with both SQL and NoSQL databases.