The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Back to feedPost
A conversational AI job search assistant that finds relevant, up-to-date job listings from the web based on what you ask for, instead of making you scroll through job boards. Users describe the role they want in plain language, and the agent searches live sources and returns matching opportunities in a chat interface.
It is built as a multi-agent system on LangGraph, with specialized agents coordinating the search. Live web data comes through the Tavily MCP (Model Context Protocol) integration, and the language model is served by Groq for fast responses. Conversation state is saved with SQLite checkpointing, so the agent remembers context across a session.
The FastAPI backend streams responses in real time over Server-Sent Events (SSE), and the frontend is built with HTML, CSS, and JavaScript.
Tech stack: LangGraph, Tavily MCP, Groq, FastAPI (SSE streaming), SQLite, HTML/CSS/JS
Source code: github.com/shahryarkhalid-cmd/Job-seeking-agent
I build agents like this for businesses that need automated research, lead generation, or data gathering.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Related posts
👋 I'm new to Contra and I did my first post without realizing I hadn't even introduced myself!
Hey I'm Katya, I'm an AI Systems Architect, marketer and yoga teacher.
I build AI systems that bring in business and handle the work behind it. A voice agent that calls new leads back within seconds and books the appointment. A pipeline that traced 16,900+ leads to the ads that brought them. Listing videos made from the photos a real estate agent already has.
The marketing side came first. I built the multi-channel campaign for Jay Shetty's launch (22 million followers). After that I discovered the tech world and when AI came along, I realized I'm a builder at heart and never looked back! Building is so much fun 🤍
Here's what I've shared:
My first post: on building a fully AI-made YouTube video, end to end, because I'm camera shy 🙈 https://contra.com/community/MP9mFRuT-im-building-my-first-fully-ai-made
Last thing, if you're building with AI video or automation, I'd like to see what you're working on
And if you're hiring: I may be new to Contra but definitely not new to this work. Reach out for AI agent builds, apps, websites or anything in between.
P.s The video below is my AI avatar. My profile video is the real me :)
Nice Portrait....Has everything from a great pose, great composition and lighting and perfect environment setting.
Where do you think AI agents can make the biggest impact in a real business? 🤖
I'm exploring AI agents and automation through projects with n8n, Python, RAG and APIs.
I'm curious to hear from other builders and founders:
What would you automate first if you could remove one repetitive task from your business?
Lead management? Customer support? Internal operations? Something else?
Would love to hear your ideas 👇
#AIAgents #AIAutomation #n8n #AI #Automation
I saw how linking n8n to a CRM can pull new leads straight into a queue, wiping out the copy paste step.
I built an AI agent that handles customer operations — refunds, order lookups, and support tickets — with a human approval gate built into the workflow. The agent proposes the action, pauses, and waits for a human to approve before anything executes. The LLM never makes the final call. Role-based access and a full audit trail are enforced in code, not prompts. Deployed live on Azure Container Apps.
The pause for human sign off keeps refunds safe while still offloading the lookup work to the agent.