AI-Integrated Full-Stack Engineer

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Selected Role

AI-Integrated Full-Stack Engineer

Position LevelMid to Senior Level

Employment TypeFull-Time (Hybrid / On-site)

LocationDhaka, Bangladesh

DepartmentEngineering & AI Labs

At Codiora Tech, we build scalable, intelligent software solutions and AI-driven platforms for modern businesses. As an AI-Integrated Full-Stack Engineer, you will operate at the intersection of modern full-stack web architecture, Machine Learning pipelines, and Large Language Models (LLMs). You will design scalable web applications, build robust Python/Node backend microservices, and seamlessly integrate AI/ML models (OpenAI, Gemini, Claude, Custom ML pipelines, Vector DBs) into real-world SaaS products.

Key Responsibilities

• ▹Full-Stack Application Development: Architect, build, and maintain high-performance web applications using Next.js, React, Node.js, and Express.js.
• ▹Python & AI/ML Microservices: Develop and optimize Machine Learning microservices using Python (FastAPI / Flask / PyTorch / Scikit-Learn).
• ▹AI & LLM Integration: Connect and fine-tune generative AI models, custom LLM APIs (OpenAI, Gemini, Claude, DeepSeek), and build RAG pipelines or workflow automation engines.
• ▹Database & API Architecture: Design efficient database schemas using PostgreSQL, MongoDB, and Prisma ORM with focus on high query performance and vector search capabilities.
• ▹Automation & Data Extraction: Develop custom web scrapers, data pipelines, and automation bots to ingest structured data for ML model training and workflows.
• ▹DevOps & Deployment: Containerize applications using Docker, set up CI/CD pipelines, and manage cloud hosting environments (AWS / Vercel / Render).

Required Technical Skills & Qualifications

• ▹Frontend: Strong expertise in Next.js, React, TypeScript, Tailwind CSS, and modern UI/UX practices.
• ▹Backend & Programming: Advanced proficiency in Python (FastAPI/Flask) and JavaScript/TypeScript (Node.js, Express.js, REST APIs, WebSockets).
• ▹AI / ML Core: Practical experience with Machine Learning fundamentals, Model Fine-tuning, Prompt Engineering, LLM APIs, and Vector DBs (ChromaDB, Pinecone, PGVector).
• ▹AI Frameworks: Familiarity with LangChain, LlamaIndex, PyTorch, or Scikit-Learn for AI workflow implementation.
• ▹Database & DevOps: Hands-on experience with PostgreSQL, Prisma ORM, Redis, Docker, Git, and Linux environments.

Bonus Skills (Nice To Have)

• ★Experience with Advanced Retrieval-Augmented Generation (RAG) architecture.
• ★Familiarity with MLOps frameworks (MLflow, Weights & Biases) or Model Deployment pipelines.
• ★Familiarity with web automation tools (Puppeteer, Playwright, or Selenium).

What We Offer

• ✓Competitive salary package based on skills and performance.
• ✓Hands-on exposure to next-generation AI/ML projects and SaaS application development.
• ✓Collaborative and modern engineering culture with continuous learning opportunities.
• ✓Performance-based bonuses and career growth tracks.

Direct Email Application

How to Apply

Send your application directly to our talent acquisition team via email.

Applying For PositionAI-Integrated Full-Stack Engineer

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Application Checklist & Requirements

1

Attach CV / Resume (PDF) Attach a PDF copy or share your Google Drive / Dropbox link

2

Portfolio & Code Links Links to live work, GitHub repos, or personal site

3

Brief Intro (Why You?) Add a brief introduction explaining why you are the best fit for this role

Apply via Email

Direct [email protected]