Forward Deployment Engineer

Role Overview

We are looking for a passionate and hands-on Forward Deployment Engineer to join our growing engineering team. In this role, you will build, deploy, maintain, and optimize modern web applications while implementing AI-powered automation solutions that improve business operations. You will work across the complete software development lifecycle—from frontend and backend development to cloud deployment, monitoring, troubleshooting, and AI workflow integration.

Responsibilities

• Develop, enhance, and maintain frontend and backend web applications.
• Build AI-powered automation workflows using APIs such as OpenAI, Gemini, and Claude, along with automation platforms like n8n, Make, and Zapier.
• Design, develop, and optimize REST APIs, webhooks, and database queries.
• Deploy and manage applications using Docker, CI/CD pipelines, and cloud platforms.
• Monitor application performance, website uptime, server health, logs, and API reliability.
• Implement secure development practices, including environment variable management, SSL configuration, authentication, and database backup strategies.
• Investigate production issues, perform root-cause analysis, and resolve application and workflow failures.
• Collaborate with business and product teams to translate requirements into scalable technical solutions.
• Maintain technical documentation for deployments, workflows, APIs, and infrastructure.

Requirements

• Bachelor's degree, diploma, or equivalent practical experience in Computer Science, Information Technology, Software Engineering, Artificial Intelligence, or a related field.
• 1–2 years of practical experience in full-stack web development and application deployment.
• Strong knowledge of HTML, CSS, JavaScript, and TypeScript.
• Experience with frontend frameworks such as React, Next.js, or Vue.js.
• Backend development experience using Node.js, Express.js, Python, FastAPI, or Django.
• Good understanding of REST APIs, JSON, webhooks, and relational or NoSQL databases (PostgreSQL, MySQL, or MongoDB).
• Familiarity with Generative AI models, prompt engineering, and AI integrations.
• Hands-on experience with automation platforms such as n8n, Make, or Zapier.
• Working knowledge of Git/GitHub, Linux, Docker, and CI/CD workflows.
• Ability to showcase practical work through GitHub repositories, deployed applications, AI workflows, or portfolio projects.

Skills

• Node.js
• Python
• Docker
• React.js
• n8n

Nice to Have

• Experience deploying applications on cloud platforms such as AWS, DigitalOcean, Railway, Render, or Vercel.
• Familiarity with Docker Compose, Nginx, reverse proxies, and Linux server administration.
• Experience with monitoring and observability tools such as Sentry, Grafana, Prometheus, or UptimeRobot.
• Knowledge of Cloudflare, DNS configuration, SSL certificate management, and CDN services.
• Basic understanding of Retrieval-Augmented Generation (RAG), vector databases, embeddings, or AI agent architectures.

Benefits

• Flexible schedule
• Opportunity to work on real-world AI products and intelligent automation solutions.
• Exposure to modern full-stack development, cloud infrastructure, and production deployments.
• Collaborative and fast-paced engineering environment.
• Opportunities to learn emerging AI technologies and deployment practices.
• Career growth based on performance and technical ownership.