Senior AI Engineer

Tasks

• Design and develop enterprise-grade Generative AI and Agentic AI solutions.
• Build scalable LLM pipelines, MCP integrations, and Graph/RAG applications.
• Lead AI architecture, cloud implementation, and production optimization.
• Collaborate with cross-functional teams to deliver enterprise AI products.
• Ensure scalability, security, governance, and operational reliability.

Requirements

• 10+ Years Mandatory
• Generative AI, LLMs, GPT, Claude, Gemini, and LLaMA
• LangChain, LlamaIndex, Amazon Bedrock, Agentic AI, MCP, and Graph/RAG architectures
• Vector & Graph Databases: Weaviate, Milvus, PGVector, Neo4j, and Neptune
• AWS: EKS, Fargate, Lambda, EC2, Athena, Glue, and Lake Formation
• Python, Boto3, NumPy, Pandas, and Matplotlib
• React, Next.js, TypeScript, and JavaScript
• Terraform, Docker, Puppet, and Apache Airflow
• Prompt Engineering, LLM Fine-Tuning, and AI Solution Architecture
• DevSecOps, SDLC, CI/CD, and Agile methodologies
• AI Testing: Ragas | Web Testing: Playwright, Selenium, Zephyr
• Technical leadership and production AI optimization
• Please do not submit candidates with less than 10 years of total engineering experience.

Schedule

• Hybrid – 4 Days in Office
• Contract: 6–12 Months

How to apply

• Send your updated resume.

Location

• Toronto Downtown, ON