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Apptoza Inc.

Sr AI Engineer

  • Toronto, ON, Canada

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Job details

Job type
Contract
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Experience
1–2 years of direct experience leading emerging technology or enterprise AI initiatives.
Posting language
English
Posted

Original job description

Technical Expertise

  • 10 + years of progressive engineering experience.
  • 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: Strong 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).
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Responsibilities

Lead emerging technology or enterprise AI initiatives and develop AI solutions using commercial and open-source language models, agentic AI, and Graph/RAG architectures. Build and support cloud-based, full-stack applications and data workflows, applying SDLC, DevSecOps, testing, and analytics practices.

Requirements

Requires 10+ years of progressive engineering experience and 1–2 years leading emerging technology or enterprise AI initiatives. Candidates should have hands-on expertise in LLMs, AI frameworks, databases, AWS, Python, modern web development, orchestration, testing, and business intelligence tools.

Skills

  • Generative AI
  • Large Language Models
  • Prompt Engineering
  • LLM Fine-Tuning
  • LangChain
  • LlamaIndex
  • Amazon Bedrock
  • Agentic AI
  • Retrieval-Augmented Generation
  • Vector Databases
  • Graph Databases
  • Apache Airflow
  • AWS
  • Python
  • React
  • TypeScript

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Software
  • Engineering
  • Data & Analytics

Keywords

  • DevSecOps
  • GPT
  • Claude
  • Gemini
  • LLaMA
  • Prompt Engineering
  • LLM Fine-Tuning
  • LangChain
  • LlamaIndex
  • Amazon Bedrock
  • Agentic AI
  • Model Context Protocol
  • Graph/RAG
  • Weaviate
  • Milvus
  • PGVector
  • Neo4j
  • Amazon Neptune
  • Apache Airflow
  • AWS
  • Terraform
  • Docker
  • Python
  • Next.js
  • React
  • TypeScript
  • Ragas
  • Playwright
  • Amazon QuickSight

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