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Tekgence Inc

Full Stack Engineer with AI & Agentic CLI Platform

  • Toronto, ON, Canada

Contract

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Posting language
English
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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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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

Categories

  • Software
  • Technology
  • Engineering

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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