AI Developer Offline
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
5+ 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
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.
Required skills experience
| Python | |
| Machine Learning | |
| LangChain | |
| GenAI | |
| FastAPI |
| Data Science | |
| LLM | |
| Deep Learning | |
| Docker | |
| NLP |
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