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Lead Software Engineer

  • Toronto, ON, Canada

Full-time

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Job details

Job type
Full-time
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Posting language
English
Posted

Original job description

Responsibilities

  • Build and integrate GenAI applications, APIs, agents, and tools.
  • Develop RAG and LLM-based solutions using Python and LangChain/LangGraph.
  • Integrate AI solutions with enterprise applications and data sources.
  • Deploy and maintain AI applications on AWS.
  • Implement testing, monitoring, security, and production-grade engineering practices.
  • Work with AI Scientists to productionize AI/ML solutions.

Required Skills

  • Python, REST APIs, FastAPI
  • LangChain/LangGraph, LLMs, RAG
  • AWS, Docker, CI/CD
  • Vector databases and SQL
  • Strong software engineering and system design skills
More about this job

Responsibilities

Build and integrate generative AI applications, APIs, agents, and tools, including RAG and LLM-based solutions. Integrate these solutions with enterprise applications and data sources, deploy and maintain them on AWS, and apply production-grade testing, monitoring, and security practices in collaboration with AI Scientists.

Requirements

Requires experience with Python, REST APIs, FastAPI, LangChain or LangGraph, LLMs, and RAG. Candidates should also have experience with AWS, Docker, CI/CD, vector databases, SQL, and strong software engineering and system design skills.

Skills

  • Python
  • REST APIs
  • FastAPI
  • LangChain
  • LangGraph
  • Large Language Models
  • Retrieval-Augmented Generation
  • AWS
  • Docker
  • CI/CD
  • Vector Databases
  • SQL
  • System Design
  • Software Engineering

Visa sponsorship

Not detected in the job text

Categories

  • Software
  • Technology
  • Engineering
  • Data & Analytics

Keywords

  • Generative AI
  • AI Applications
  • APIs
  • AI Agents
  • AI Tools
  • Python
  • REST APIs
  • FastAPI
  • LangChain
  • LangGraph
  • Large Language Models
  • Retrieval-Augmented Generation
  • AWS
  • Docker
  • CI/CD
  • Vector Databases
  • SQL
  • Enterprise Applications
  • Data Sources
  • Testing
  • Monitoring
  • Security
  • Production Engineering
  • AI/ML
  • Software Engineering
  • System Design

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