Full Stack Developer

Cybersenz Inc. is an industry leader delivering intelligent visibility and proactive cyber risk detection for AI agent ecosystems. Focused on building reliable and trustworthy intelligent systems, we leverage AI to enhance customer interactions while simplifying workflows. Our comprehensive AI-powered customer support platform includes expertly managed services such as Voice Agents, Email Agents, and Chat Agents, combining automation with human-in-the-loop processes where necessary. At Cybersenz Inc., AI is at the core of everything we do to reinvent how businesses serve their customers and manage operations effectively.
Summary
We are looking for a full-time Senior AI Engineer to help design, build, and deploy practical AI systems for real-world business use cases. The role is suited to someone experienced across backend development, cloud deployment, API integrations, CI/CD pipelines, and AI/LLM workflows.
You will work on AI-powered systems such as voice agents, chat agents, automation pipelines, dashboards, and cloud-based services. This role is ideal for someone who can take ownership of technical decisions, solve ambiguous problems, and build production-ready systems. This is a fully remote position.
Key Responsibilities
· Build AI-powered applications using Python, JavaScript, and TypeScript.
· Develop backend APIs and automation workflows using frameworks such as FastAPI, Node.js, or similar.
· Integrate with LLMs and AI APIs such as Azure OpenAI, OpenAI, Anthropic, ElevenLabs, Twilio, or similar platforms.
· Deploy and manage services on Microsoft Azure.
· Design, maintain, and improve CI/CD pipelines for automated testing, builds, deployments, and environment promotion.
· Work with CI/CD tools such as GitHub Actions, Azure DevOps Pipelines, or similar.
· Manage deployment workflows for staging and production environments.
· Build and maintain frontend dashboards using React, Next.js, JavaScript, and TypeScript.
· Write automated tests and ensure code is reliable before deployment.
· Work with databases, APIs, webhooks, queues, and background jobs.
· Write clean, well-documented, testable code.
· Debug production issues across cloud, backend, frontend, CI/CD, and AI workflows.
Azure Exposure
· Azure Container Registry
· Azure Key Vault
· Azure Blob Storage
· Azure PostgreSQL
· Azure Redis
· Azure OpenAI
· Azure Monitor / Log Analytics
Required Skills
· Python for backend development, scripting, automation, or AI workflows.
· JavaScript and TypeScript.
· REST APIs and webhook-based integrations.
· Strong cloud deployment knowledge, preferably with Azure.
· Git and GitHub.
· Working with databases such as PostgreSQL.
· Understanding of environment variables, secrets management, and secure configuration.
· Ability to debug complex issues independently, make sound engineering decisions, and communicate trade-offs clearly.
Strong Advantage
· Azure OpenAI.
· FastAPI.
· Next.js / React.
· Docker and containerized deployments.
· Azure Container Apps or similar serverless container platforms.
· CI/CD pipelines.
· GitHub Actions.
· Azure DevOps Pipelines.
· Automated testing, build pipelines, deployment pipelines, and release workflows.
· Terraform for infrastructure-as-code.
· Twilio, ElevenLabs, Retell, or voice AI platforms.
· LLM agents, RAG systems, prompt engineering, or AI workflow orchestration.
· Redis, queues, background jobs, or async processing.
· Security-conscious development, especially around sensitive data.
· Healthcare, finance, or regulated-environment software.
What We're Looking For
· Comfortable working in a fast-moving startup environment.
· Able to learn unfamiliar technologies quickly and guide implementation decisions.
· Strong at debugging and breaking down complex technical problems.
· Security-aware when handling data, APIs, secrets, and cloud infrastructure.
· Clear in communication and able to explain trade-offs.
· Interested in building real AI products, not just demos.
· Practical, reliable, and able to take ownership of tasks.
Example Projects
· AI voice agents for customer service, healthcare, or administrative workflows.
· Post-call analysis pipelines that extract structured information from transcripts.
· Client dashboards for reviewing AI agent activity and outputs.
· Azure-based deployment architecture for AI applications.
· CI/CD pipelines for automated testing, builds, and deployments.
· Automation systems connecting APIs, databases, and LLMs.
· Secure document generation and storage pipelines.
· Multi-agent workflows across voice, chat, email, and internal systems.
Application Requirements
To apply, send:
· Your CV or LinkedIn profile.
· GitHub, portfolio, or examples of previous work.
· A short note explaining your experience with Python, JavaScript/TypeScript, Azure or cloud deployment, CI/CD pipelines, Terraform, and AI/LLM-based applications.
Optional Technical Task
Shortlisted candidates may be asked to complete a small technical task involving:
· A Python backend/API.
· A simple TypeScript or JavaScript frontend.
· An AI API integration.
· Basic Azure/cloud deployment thinking.
· A simple CI/CD pipeline or deployment workflow explanation.
· Secure handling of environment variables and API keys.

Work arrangement
No