AI Product Engineer – Dashboard Cre...

We are seeking an AI Product Engineer who builds, ships, owns, and solves — not someone whose strength is only coursework. You'll take an unclear business problem, figure out what to build, and turn it into a working product across AI, software engineering, automation, web products, APIs, and internal tools.

What You Will Build & Own

• Build AI-powered applications using LLMs, RAG, AI agents, intelligent search, document processing, and automation.
• Develop internal portals, dashboards, and business tools (HR/ATS, LMS, productivity apps).
• Design REST APIs and integrate third-party services, CRMs, and internal platforms.
• Replace manual, repetitive processes with reliable automation.
• Build and maintain frontend and backend features for internal and customer-facing products.
• Work with databases, cloud services, and production deployment environments.
• Debug, test, deploy, monitor, and continuously improve applications after launch.
• Turn stakeholder requirements into practical technical solutions.

Who We're Looking For

We value builders who can show evidence of work outside tutorials:

• Builder mindset: you build things and own outcomes end-to-end.
• Ownership: break down requirements, make decisions, and drive to completion.
• Execution over theory: strong fundamentals matter, but we care most about what you can ship.
• Problem solver & fast learner: debug, research, and pick up unfamiliar frameworks when needed.
• Product thinking: ensure solutions solve business problems, not just code that runs.
• Strong fundamentals: practical experience in Python or another modern language; APIs, databases, Git, debugging.
• Generative AI basics: hands-on with LLM-based apps; able to build and deploy complete projects.

Mandatory Project Showcase

A project is mandatory. Be ready to showcase at least one project you personally built and explain it end-to-end — the problem it solves, architecture, technologies used, key challenges, and improvements. A GitHub repo, deployed app, or working demo is strongly preferred; copied tutorial projects won't count.

Strongly Preferred Skills

• LLM APIs (OpenAI, Gemini, Groq)
• RAG, vector databases, embeddings, LangChain / LangGraph
• Ai-agent development
• FastAPI, Flask, Django, Streamlit, or React
• Cloud deployment, Docker, authentication, production API integrations
• Automation / workflow orchestration and CRM / LMS / HR integrations
• Experience building products used by real users