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Added 20 days ago
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Full Stack Engineer with AI & Agentic CLI Platform
Tekgence Inc
Toronto, ON
- Contract
Added 20 days ago
TI
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Tekgence Inc
Toronto, ON
- Contract
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Tekgence Inc
Toronto, ON
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Tekgence Inc
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Tekgence Inc
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Tekgence Inc
Toronto, ON
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Tekgence Inc
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Tekgence Inc

Full Stack Engineer with AI & Agentic CLI Platform

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 18, 2026
Posting language: English
Posted: Oct 19, 2026

Original job description

Title- Full Stack Engineer with AI & Agentic CLI Platform

Location- Toronto, Canada Hybrid

Contract

We are seeking a Full-Stack AI Engineer with strong production software engineering and distributed systems expertise to build end-user web applications on top of an agentic CLI platform.

Key Responsibilities & Requirements:

Strong hands-on experience with TypeScript, JavaScript, Node.js, Python, React, FastAPI, REST APIs, and WebSockets.
Design scalable distributed systems using event-driven architectures, job queues (Pub/Sub, Cloud Tasks, SQS), caching, backpressure, and rate-limit management.
Build and deploy production-ready multi-agent AI systems using LangGraph or LangChain.
Implement MCP (Model Context Protocol), LLM tool calling, structured outputs, real-time token streaming, and agent observability/evaluation.
Focus on application development, system reliability, and production delivery rather than AI research or model training.

Ideal Candidate: A Full-Stack AI Engineer, Founding AI Engineer, or Product Engineer with an application-first engineering mindset and hands-on experience building production-grade agentic AI solutions.

Nitesh Jaiswal | Tekgence Inc

Linkedin:- linkedin.com/in/nitesh-ch-a378b5222

Direct: 469-421-5604 , Ext- 218 • nitesh.j@tekgence.com

6655 Deseo Dr, Suite 104,Irving, TX , 75039 • www.tekgence.com

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More about this job

Responsibilities

Build end-user web applications on an agentic CLI platform and develop production-ready multi-agent AI systems. Design scalable distributed systems and implement agent capabilities such as tool calling, structured outputs, real-time token streaming, and observability.

Requirements

The role requires hands-on experience with TypeScript, JavaScript, Node.js, Python, React, FastAPI, REST APIs, and WebSockets, along with expertise in distributed systems and event-driven architectures. Candidates should have production experience with LangGraph or LangChain and agentic AI applications, with a focus on reliability and delivery rather than AI research or model training.

Skills

TypeScript
JavaScript
Node.js
Python
React
FastAPI
REST APIs
WebSockets
Distributed Systems
Event-Driven Architecture
Job Queues
LangGraph
LangChain
Model Context Protocol
LLM Tool Calling
Agent Observability

Visa sponsorship

Not detected in the job text

Hiring contact

Nitesh Jaiswal

Hiring contact email

nitesh.j@tekgence.com

Keywords

Full-Stack Engineering
Artificial Intelligence
Agentic CLI Platform
TypeScript
JavaScript
Node.js
Python
React
FastAPI
REST APIs
WebSockets
Distributed Systems
Event-Driven Architecture
Pub/Sub
Cloud Tasks
Amazon SQS
Caching
Backpressure
Rate Limiting
LangGraph
LangChain
Model Context Protocol
LLM Tool Calling
Structured Outputs
Real-Time Token Streaming
Agent Observability
Agent Evaluation
Production Delivery

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