Associate Developer

Job Description:

We are seeking a dynamic and forward-thinking Full Stack Web Developer to build and optimize scalable web applications while integrating advanced technologies like AI/ML and workflow automation. The ideal candidate will possess expertise across both front-end and back-end development and have practical experience with AI model development, automation tools like n8n, and configuring intelligent AI agents within orchestrated environments. Additionally, the candidate should have a deep understanding of integrating AI systems like OpenClaw or any Agentic AI to enhance application functionality and efficiency.

Key Responsibilities:

• Full Stack Development:

  Design, develop, and deploy scalable, high-performance web applications. You will work with both front-end and back-end technologies to ensure seamless user experience and backend functionality.

• AI & Automation Integration:

  Integrate AI/ML models into the application stack. Work with tools like n8n to automate workflows, enhance process efficiencies, and integrate various applications.

• Agentic AI & OpenClaw Integration:

  Develop and maintain AI agents using tools such as OpenClaw. This includes adding new skills, configuring intelligent agents, and creating job schedules that are automatically triggered within orchestrated environments.

• Automation & Workflow Configuration:

  Configure and optimize workflow automation pipelines and integrate multiple applications into a unified, seamless system that reduces manual processes.

• Continuous Improvement & Optimization:

  Actively engage in identifying and implementing improvements to both the application architecture and the development lifecycle to enhance performance and user experience.

• Collaboration & Cross-Functional Work:

  Work closely with product managers, AI specialists, and other team members to understand requirements and deliver features that align with business goals.

• Testing & Quality Assurance:

  Conduct unit and integration tests to ensure the application is robust and functions as intended. Help establish best practices for testing, CI/CD pipelines, and automation in development workflows.

Requirements

Required Skills & Qualifications:

• Proven Experience:

  Minimum of 1-2 years in full-stack web development, with hands-on experience in both front-end and back-end technologies.

• Tech Stack:

  Strong proficiency in modern web development technologies such as JavaScript (React, Angular, Node.js, etc.), HTML5, CSS3, TypeScript, and server-side frameworks like Express.js, Django, or Ruby on Rails.

• AI & Automation Tools:

  Strong experience with AI/ML models and familiar with automation tools such as n8n to configure workflows and applications seamlessly.

• Agentic AI & OpenClaw Experience:

  Experience with AI platforms like OpenClaw or similar Agentic AI tools. Ability to add new skills to AI agents, integrate multiple systems, and create job schedules.

• Database Proficiency:

  Strong knowledge of relational and NoSQL databases (e.g., MongoDB, PostgreSQL, MySQL), including querying, schema design, and performance optimization.

• API Development:

  Solid experience in designing and developing RESTful and GraphQL APIs.

• DevOps & CI/CD:

  Familiarity with DevOps practices and tools like Docker, Kubernetes, Jenkins, or similar platforms to streamline deployment and automation pipelines.

• Version Control & Collaboration Tools:

  Proficient in version control using Git and collaboration tools such as Jira, Slack, and others.

• Problem-Solving:

  Strong problem-solving skills, with the ability to work on complex systems and debug challenging issues.

• Excellent Communication:

  Ability to collaborate effectively with both technical and non-technical teams. Strong written and verbal communication skills.

Desired Skills (Optional but a Plus):

• Cloud Platforms:

  Experience with cloud platforms such as AWS, Azure, or Google Cloud for application deployment and scaling.

• Experience with Microservices:

  Familiarity with designing, implementing, and managing microservices architecture.

• AI Model Optimization:

  Experience in optimizing AI models and working with platforms for AI deployment like TensorFlow, PyTorch, or similar.

• Data Engineering:

  Knowledge of data pipelines, ETL processes, and working with large datasets for training AI models.