AI Platform Engineer — Agent-Driven AI Delivery

Tata Consultancy Services

Halifax

On-site

CAD 90,000 - 150,000

Full time

16 hours ago
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Job summary

Tata Consultancy Services in Canada is seeking an experienced engineer to design and implement agent-based software delivery systems, leveraging LangChain, LangGraph, and Claude Code.

You will build and integrate agents across the delivery lifecycle, collaborate with DevOps and security, and help scale AI-driven workflows across teams.

Candidates should demonstrate practical fluency with frontier coding assistants and MCP protocols.

Qualifications

  • Hands-on experience building agent-based solutions using LangChain/LangGraph or similar.
  • Experience with MCP (Model Context Protocol) servers and creating custom skills/tools.
  • Proven fluency with frontier coding assistants (e.g., Claude Code).

Responsibilities

  • Design and build agents across the full software delivery lifecycle, from spec to post-deployment tasks.
  • Develop agents on MCP servers, Devin platform, and native LangChain/LangGraph frameworks.
  • Implement and extend spec-driven development workflows as backbone of the platform.
  • Build the plumbing for AI-driven delivery gates such as specification and PR readiness.
  • Explore frontier models and coding assistants to automate work for productivity.
  • Partner with DevOps, security, and platform teams to push skills into production.
  • Demonstrate built solutions to development teams to drive platform adoption.
  • Serve as hands-on technical resource champion for AI-driven software delivery.

Skills

LangChain
LangGraph
Claude Code
Agent frameworks

Tools

Claude Code
MCP servers
Coding harnesses
DevOps practices

Job description

Tata Consultancy Services in Canada is seeking an experienced engineer to design and implement agent-based software delivery systems, leveraging LangChain, LangGraph, and Claude Code.

You will build and integrate agents across the delivery lifecycle, collaborate with DevOps and security, and help scale AI-driven workflows across teams.

Candidates should demonstrate practical fluency with frontier coding assistants and MCP protocols.

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