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Apptoza Inc.

Gen AI Engineer

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 26, 2026
Posting language: English
Posted: Oct 27, 2026

Original job description

Role : Senior AI Engineer – Generative AI

Location : Toronto ,ON

Experience: 8+ years

Role Summary

Lead the development and delivery of enterprise GenAI products, pilots, and scalable AI solutions.
Architect LLM pipelines, Agentic AI workflows, MCP, Graph RAG, and prompt-based applications.
Build cloud-native AI solutions using AWS and optimize production performance.
Collaborate with product, data science, and business teams to deliver AI solutions.
Drive technical strategy, Agile delivery, DevSecOps, governance, and production reliability.

Required Skills

10+ years of engineering experience, including 1–2 years leading AI initiatives.
GenAI/LLMs: GPT, Claude, Gemini, LLaMA, prompt engineering, fine-tuning.
AI Frameworks: LangChain, LlamaIndex, Amazon Bedrock, Agentic AI, MCP, Graph RAG.
Databases & Orchestration: Weaviate, Milvus, PGVector, Neo4j, Neptune, Apache Airflow.
AWS & DevOps: EKS, Fargate, Lambda, EC2, ELB/NLB, Glue, Athena, Lake Formation, Terraform, Docker, Puppet.
Programming & Full Stack: Python, NumPy, Pandas, Matplotlib, Boto3, React, Next.js, TypeScript/JavaScript.
Testing & BI: Ragas, Playwright, Zephyr, Selenium, QuickSight, Tableau.
Strong SDLC, DevSecOps, Agile, system design, and production support experience.

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More about this job

Responsibilities

Lead the development and delivery of enterprise generative AI products, pilots, and scalable solutions, including LLM pipelines, agentic workflows, and prompt-based applications. Architect and optimize cloud-native AI solutions on AWS while guiding technical strategy, delivery, governance, and production reliability in collaboration with product, data science, and business teams.

Requirements

Requires 10 or more years of engineering experience, including 1–2 years leading AI initiatives, with expertise in generative AI, LLMs, AI frameworks, databases, orchestration, and AWS. Candidates should also have programming and full-stack experience, testing and BI familiarity, and strong SDLC, DevSecOps, Agile, system design, and production support skills.

Skills

Generative AI
Large Language Models
Prompt Engineering
Fine-Tuning
LangChain
LlamaIndex
Agentic AI
Model Context Protocol
Graph RAG
Amazon Bedrock
AWS
Python
Terraform
Docker
DevSecOps
Agile Delivery

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Large Language Models
GPT
Claude
Gemini
LLaMA
Prompt Engineering
Fine-Tuning
LangChain
LlamaIndex
Amazon Bedrock
Agentic AI
Model Context Protocol
Graph RAG
Weaviate
Milvus
PGVector
Neo4j
Amazon Neptune
Apache Airflow
AWS
Amazon EKS
AWS Fargate
AWS Lambda
Terraform
Docker
Python
React
TypeScript
DevSecOps

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