Full Stack Engineer

Company Description Onefede operates a global cybersecurity marketplace that connects buyers, sellers, and service partners in a single ecosystem. The platform streamlines how organizations identify, evaluate, and acquire cybersecurity solutions through a simplified online process. Users gain visibility into innovative, best-of-breed emerging cybersecurity startups, products, and services. By bringing diverse cybersecurity offerings together, Onefede helps organizations make informed decisions and strengthen their security posture efficiently.

• Role Description

Key Responsibilities

• Develop and maintain full-stack applications (frontend, backend, and database)

• Integrate AI/ML capabilities into applications (chatbots, recommendation engines,

predictive analytics)

• Design and develop RESTful APIs and microservices

• Collaborate with business teams to identify automation and AI use cases

• Implement AI integrations using APIs (OpenAI, Azure AI, etc.)

• Automate workflows and repetitive processes using AI-driven logic

• Ensure application performance, scalability, and security

• Build CI/CD pipelines and manage deployments in cloud environments (Azure/AWS)

• Manage structured and unstructured data for AI-driven insights

• Perform testing, debugging, and code optimizationRequired Skills

Technical Skills

• Frontend: React / Angular / Vue.js

• Backend: Node.js / Python / Java

• Database: SQL / NoSQL (MongoDB, PostgreSQL)

• APIs: REST, GraphQL

• Cloud Platforms: Azure / AWS / GCP

• DevOps: CI/CD, Docker, Git

AI/Automation Skills

• Experience with AI APIs (OpenAI, Azure AI, etc.)

• Basic understanding of Machine Learning concepts

• Prompt engineering and LLM integration

• Automation scripting (Python / Node.js)

• Knowledge of chatbot frameworks / workflow automation

Preferred Skills

• Experience with AI-augmented development tools (Copilot, etc.)

• Exposure to MLOps concepts

• Experience in building AI-enabled enterprise applications

• Familiarity with data pipelines and analytics tools

Qualifications

• Bachelor's/Master's in Computer Science / IT / Engineering

• 1–3 years of experience in full-stack development

• Experience in AI-integrated applications (preferred)