Job Summary
We are seeking a skilled and technically strong AI Technical Specialist / AI Engineer to join our team. The ideal candidate should have hands-on experience with modern AI tools and AI-assisted development workflows along with solid understanding of frontend backend APIs databases version control and software engineering best practices. This resource will help the existing team use AI tools more effectively generate and refine code review AI-generated outputs and support integration of those outputs into the existing codebase in a clean scalable and maintainable way.
The role requires a practical problem-solver who can bridge AI tooling product requirements and engineering execution. The candidate should not only know how to use tools such as ChatGPT Claude Cursor GitHub Copilot code agents automation tools and documentation assistants but should also understand when AI output is technically incorrect risky incomplete or not aligned with the existing architecture.
Key Responsibilities
Use AI tools to accelerate software development documentation debugging testing code explanation and technical research.
Assist frontend and backend teams in converting AI-generated code into production-ready code that fits the existing codebase architecture naming conventions and development standards.
Review validate refactor and optimize AI-generated code before it is merged into the main codebase.
Collaborate with engineers to understand current frontend backend API database and deployment structures then guide AI-assisted implementation accordingly.
Create prompts workflows and reusable AI development patterns for common engineering tasks such as feature scaffolding bug fixing test generation API documentation UI component creation and code reviews.
Support integration of AI-generated frontend components backend services API endpoints scripts and automation workflows into existing systems.
Identify technical risks in AI-generated code including security issues poor performance missing edge cases dependency risks hallucinated APIs and maintainability concerns.
Work with the team to improve developer productivity through AI-powered tools internal documentation coding assistants and automation workflows.
Create and maintain technical documentation implementation notes prompt libraries AI usage guidelines and development SOPs for the engineering team.
Assist in debugging complex issues by using AI tools for root-cause analysis while verifying solutions through manual technical judgment.
Help evaluate and recommend AI tools coding agents browser automation tools knowledge-base tools and productivity platforms that can improve engineering output.
Collaborate with product design and engineering stakeholders to convert requirements into technical implementation plans supported by AI-assisted workflows.
Support code reviews pull request preparation test case creation release notes and implementation handovers.
Stay updated with new AI development tools LLM capabilities coding agents prompt engineering methods and AI-assisted engineering best practices.
Technical Skills Required
Strong understanding of modern frontend development preferably React JavaScript/TypeScript HTML CSS and component-based UI development.
Good understanding of backend development concepts such as APIs authentication business logic database interaction server-side validation and service architecture.
Familiarity with backend technologies such as Express/NestJS Python Laravel Django or similar frameworks will be preferred.
Working knowledge of REST APIs GraphQL basics webhooks third-party integrations and API testing tools such as Postman or Insomnia.
Understanding of databases such as PostgreSQL MySQL MongoDB or similar including schema awareness and query-level troubleshooting.
Strong Git/GitHub knowledge including branching pull requests merge conflict resolution and code review workflows.
Ability to read and understand existing codebases quickly and identify how new code should be integrated without breaking current functionality.
Hands-on experience with AI-assisted coding tools such as ChatGPT Claude Cursor GitHub Copilot Replit Windsurf or similar tools.
Ability to write effective prompts for coding debugging documentation test generation architecture explanation and code refactoring tasks.
Understanding of testing basics including unit testing integration testing regression testing and QA handoff support.
Basic understanding of DevOps/deployment workflows such as CI/CD environment variables staging/production environments and deployment troubleshooting.
Awareness of AI limitations including hallucinations incorrect package usage insecure code hidden bugs and over-engineered solutions.
Qualifications
2-4 years of hands-on experience in software development technical implementation AI-assisted development or a similar technical role.
Strong practical knowledge of AI tools and how they can be used in real software development workflows.
Ability to understand frontend and backend code review generated code and guide developers on implementation quality.
Strong analytical and problem-solving skills with the ability to verify AI outputs before recommending implementation.
Good communication skills and ability to explain technical concepts clearly to developers product teams and non-technical stakeholders.
Ability to work independently take ownership of assigned tasks and collaborate with existing engineering resources.
Strong attention to detail especially around code quality security maintainability and production readiness.
Bachelor degree in Computer Science Software Engineering Information Technology or equivalent practical experience.
Preferred Qualifications
Prior experience working in a SaaS marketplace e-commerce CRM or B2B platform environment.
Experience with AI automation workflows internal tools chatbots RAG-based knowledge systems or AI-powered support systems.
Experience using AI tools for code review technical documentation QA test case generation and product requirement breakdowns.
Understanding of cloud platforms such as AWS GCP Azure Vercel Netlify DigitalOcean or similar.
Experience with design-to-code workflows using Figma AI UI generation tools or component libraries.
Familiarity with security best practices OWASP basics authentication flows and safe handling of sensitive data.
Ability to train or guide other team members on practical AI tool usage and responsible AI-assisted development.
Tools & Platforms Exposure
AI Coding & Productivity: ChatGPT Claude Cursor GitHub Copilot Windsurf Replit Gemini Perplexity or similar.
Development: GitHub GitLab VS Code Postman Docker basics package managers API testing tools and browser developer tools.
Frontend/Backend: React/ JavaScript/TypeScript Python REST APIs databases and modern web architecture basics.
Documentation & Collaboration: Notion Google Workspace Jira ClickUp Slack Loom or similar tools.
Success Metrics
Improvement in development speed through practical AI-assisted workflows.
Reduction in rework caused by poor or unverified AI-generated code.
Clear documentation and prompt libraries that help the team repeat successful AI workflows.
Smooth integration of AI-generated frontend/backend code into the existing codebase.
Better code review quality stronger QA handoffs and improved technical clarity across the team.
Job Title: System Administrator Responsibilities: Install support and maintain all network servers and devices. Support LANs WANs network segments Internet and Intranet systems. Maintain system efficiency. Administer Active Directory services. Administer servers desktop computers printers routers switches firewalls phones personal digital assistants software deployment security updates and patches. Manage Hyper-V and VMware environments. Network maintenance troubleshooting and problem resolution. Generate/retain system backup and procedures. Monitor usage and network traffic. Maintain access control lists and security protocols. Create update and maintain all network-related documentation. Responsible for all technical inventory. Identify and troubleshoot computer software/hardware issues on the Operations Floor and provide timely resolution of all IT issues. Ensure all computers in the network are up and functional at all times. Review system logs. Provide remote IT support to clients in the US as needed. Work on assigned tickets and escalations from the remote support team handling the ticketing system efficiently. Make recommendations for future upgrades. Evaluate and modify system performance. Maintain network facilities in individual machines such as drivers and settings of personal computers as well as printers. Send daily update reports to the concerned authority. Required Skills / Experience: Bachelors / Masters Degree in Computer Science or equivalent. 3-5 years of experience using configuring and troubleshooting various Microsoft platforms including current versions of Windows Servers. Strong knowledge of switches routers and firewalls. Working technical knowledge of current network hardware protocols standards and network security. Experience with developing the network strategy capacity planning and selection of network hardware. Proficiency in cloud technologies and services (e.g. AWS Azure Google Cloud). Linux administration experience including server setup configuration and troubleshooting. Experience with Hyper-V and managing virtual machines. Ability to create and maintain vendor partnerships and relationships. Self-starter able to work with limited supervision with excellent time management prioritization and customer service skills. LAN/WAN configurations TCP/IP VPN IPSec etc.