Job Title: AI Engineer (Full Stack)

Company Name: JUTEQ

Job Url: https://wellfound.com/jobs/3962551-ai-engineer-full-stack-agentic-systems

Job Description: 
JUTEQ
Actively Hiring
AI & Cloud Native
Growing fast
Save
Apply Now
AI Engineer (Full Stack, Agentic Systems)
No equity
|
Remote (
Everywhere
)
|3 years of exp
|Full Time
Posted: yesterday• Recruiter recently active
Hires remotely in
Everywhere
Remote Work Policy
Remote only

Company Location
Toronto
Visa Sponsorship
Not Available

Preferred Timezones
Eastern Time
Collaboration Hours
9:00 AM - 6:00 PM Eastern Time
Relocation
Not Allowed
Skills
Python
Node.js
GCP
Next.Js
Nest.Js
Google Cloud Platform (GCP)
LangChain
About the job
JUTEQ is an AI-native and cloud-native technology consulting firm helping enterprises in financial services, telecom, and healthcare build intelligent, production-grade systems. We combine the power of GenAI, cloud architecture, and automation to deliver next-generation business tools.

We're now hiring an experienced AI Developer. This is a hands-on, full-stack role that blends the best of browser automation, generative AI, and cloud scalability.

What You'll Work On
Design and build autonomous agents that handle email-based lead nurturing workflows (no APIs).

Implement ReAct-style and Agentic RAG patterns for intelligent conversation flow and qualification scoring.

Build full-stack flows using Node.js (backend) and modern JS/TS frameworks on the frontend.

Use Python-based Agent Development Kit (ADK) and LLM orchestration tools like LangGraph, CrewAI, LangChain.

Develop AI-powered communication systems: email parsing, reply generation, ADF/XML integration, and lead qualification logic.

Implement observability, failover logic, and safety mechanisms for agents operating in production.

Collaborate with product, infra, and design teams to iterate on user-facing agent behaviors.

What We’re Looking For
3+ years of full-stack development experience (Node.js/Nest, React/Next.js, etc.)

Experience with Python for AI workflows, including prompt engineering, LLM APIs (OpenAI, Anthropic), and basic NLP tooling

Prior work with multi-agent systems, AI agents, or RAG pipelines

Exposure to browser automation frameworks (Playwright, Puppeteer) is a strong plus

Understanding of email systems, lead flows, or CRM integrations is beneficial

Ability to build "vibe-coded" UI/UX—that is, fast, intuitive interfaces that reflect the intelligence of the system behind them

Proven expertise in AI model evaluation, testing, and quality assurance , with a focus on comprehensive test case development and performance metrics over simple agent building.

Strong communication and problem-solving skills; able to ship independently and iterate quickly

What You'll Gain
Be part of a production-facing AI agent platform shipping to real customers

Work alongside a high-velocity product and infra team at the cutting edge of GenAI

Deep exposure to Agentic AI architectures and evaluation frameworks

A visible portfolio of work in AI infrastructure and intelligent systems

Potential to grow into a tech lead or AI architect role as we expand

How to Apply
Please send:

Your resume

GitHub or portfolio with relevant full-stack or AI agent work

(Optional) A short video (~3–5 min) explaining a complex project you've led and your development approach

If you're excited about building autonomous systems that operate in the real world—not just research labs, we’d love to hear from you.

Apply now and build what’s next in AI.