1 2 years of direct experience leading emerging technology or enterprise AI initiatives.

Strong familiarity with the full Software Development Life Cycle (SDLC) best practices and DevSecOps protocols.

Generative AI &

- LLMs: Core proficiency with commercial and open-source models (GPT, Claude, Gemini, LLaMA), advanced prompt engineering, and LLM fine-tuning techniques.

AI Frameworks &

- Architectures: Deep hands-on experience with LangChain, LlamaIndex, Amazon Bedrock, Agentic AI, MCP, and Graph/RAG architectures.

Databases &

- Orchestration: Proven experience with Vector and Graph databases (Weaviate, Milvus, PGVector, Neo4J, Neptune), query optimization, and ETL orchestration using Apache Airflow/DAGs.

Cloud &

- DevOps (AWS): Comprehensive knowledge of AWS infrastructure,



including computation (EKS, Fargate, Lambda, EC2), networking/load balancing (ELB, GLB, NLB), data analytics (Athena, Glue, Lake Formation), and Infrastructure as Code (Terraform, Puppet, Docker).

Full-Stack Development: Solid proficiency in Python (NumPy, Pandas, Matplotlib, Boto3) alongside modern web application development using Next.js, React, and TypeScript/JavaScript.

Testing &

- Analytics: Familiarity with automated AI and web testing frameworks (Ragas, Playwright, Zephyr, Selenium) and Business Intelligence tools (QuickSight, Tableau).

📌 Senior AI Engineer (Toronto)
🏢 Ju0026amp;M Group
📍 Toronto