Project Description We are seeking an experienced AI Engineer to design and deliver scalable Gen AI solutions. This subcontractor role focuses on building production-ready AI products using Python, React, and AWS, while leveraging modern architectures such as LLM pipelines, RAG, and agent-based systems.Responsibilities Lead and contribute to the development of AI products, pilots, and solutions, emphasizing clean, maintainable code in Python, React, and AWS.Design, architect, and build scalable Gen AI systems, including LLM pipelines, agentic architectures, MCP, Graph/RAG, and prompt-based applications.Implement cloud-native solutions using AWS services such as EKS, Lambda, Fargate, Glue, and Athena.Optimize performance of AI products and drive continuous experimentation with emerging Gen AI methods, frameworks, APIs, and toolchains.Collaborate with product managers, data scientists, and domain experts to define technical solutions aligned with business needs.Serve as a Gen AI SME, helping shape the organization’s AI roadmap.Own end-to-end delivery of Gen AI solutions, managing timelines, deliverables, and milestones using Agile (Scrum/Kanban).Monitor operational metrics and incident data to support continuous improvement and reliability.Ensure adherence to governance, Dev Sec Ops,



and security protocols.Required Skills & Experience Must Have Qualifications 6+ years of progressive engineering experience, including 1-2 years leading emerging tech or AI initiatives.Hands-on experience with Gen AI models (GPT, Claude, Gemini, LLa MA) and prompt engineering.Expertise in agentic AI, MCP, and Graph/RAG architectures.Proficiency with Gen AI frameworks: Lang Chain, Llama Index, Amazon Bedrock.Robust web development experience using Next.Js, React, Type Script/Java Script.Deep knowledge of AWS services: EC2, ELB/GLB/NLB, EKS, Fargate, Lambda, Athena, Glue, Lake Formation.Experience with Ia C and containerization: Puppet, Terraform, Docker.ETL orchestration using Apache Airflow/DAGs.Familiarity with vector/graph databases: Weaviate, Milvus, PGVector, Neo4j, Neptune, including query optimization.Strong Python skills: Num Py, Pandas, Matplotlib, Boto3.Experience with automated testing frameworks: Ragas, Playwright, Zephyr, Selenium.Knowledge of SDLC best practices, Dev Sec Ops, Agile (Scrum/Kanban), and work management tools ( JIRA, Confluence, JIRA Align).Understanding of LLM fine-tuning techniques.Experience with BI tools: Quick Sight, Tableau.Knowledge of financial markets and enterprise data systems.#J-18808-Ljbffr

📌 Senior Ai Engineer - Toronto, On
🏢 Pozent
📍 Toronto