Avatar for Apptad
Apptad
Actively Hiring
We help leading brands build Data and Analytics competencies
  • B2B
  • Growth Stage
    Expanding market presence

Python AI Engineer (local candidates only)

Posted: 4 days ago• Recruiter recently active
Job Location
Remote Work Policy

In office - WFH flexibility

Visa Sponsorship

Not Available

RelocationAllowed
Skills
Python
MCP
Prompt Engineering
LangChain
Amazon Bedrock
Langgraph
LLM Orchestration
AgentCore
Strands Agents SDK

About the job

Job Title: Python AI Engineer (local candidates only)

Job Location: Montreal, QC (3 days/week onsite)

Job Type: Contract- Long Term

Role Summary

We are seeking a Senior AI Agent Engineer (around 6 to 8 years of experience) to design, develop, and deploy enterprise-grade AI agents and multi-agent systems using modern agentic AI frameworks. The ideal candidate should have hands-on experience with Amazon Bedrock, AgentCore, LangChain, LangGraph, MCP, and AI agent design patterns.

Key Responsibilities

  • Design and develop autonomous AI agents and multi-agent workflows.
  • Build agentic applications using Amazon Bedrock, AgentCore, LangChain, LangGraph, and Strands Agents SDK.
  • Implement orchestration, planning, memory management, and tool-calling capabilities.
  • Design and integrate Model Context Protocol (MCP) based solutions.
  • Create scalable agent architectures following industry best practices and agent design patterns.
  • Collaborate with product and engineering teams to translate business requirements into AI-driven solutions.
  • Evaluate and optimize LLM performance, reliability, and safety.

Required Skills

  • Strong Python development experience.
  • Hands-on experience with Amazon Bedrock and AgentCore.
  • Expertise in LangChain and LangGraph.
  • Experience with Strands Agents SDK or similar agent frameworks.
  • Deep understanding of AI Agent Design Patterns.
  • Experience implementing Multi-Agent Systems.
  • Knowledge of MCP (Model Context Protocol).
  • Strong understanding of prompt engineering and LLM orchestration.

Preferred Qualifications

  • Experience with cloud-native deployments on AWS.
  • Exposure to RAG-based architectures.
  • Familiarity with observability, evaluation, and monitoring of AI agents.
  • Knowledge of productionizing GenAI applications.

About the company

Apptad company logo

Apptad

Actively Hiring
We help leading brands build Data and Analytics competencies201-500 Employees
Company Size
201-500
Company Industries
Any Company That Has An It Department.
  • B2B
  • Growth Stage
    Expanding market presence
Learn more about Apptad image

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