AI Full stack Architect

Vibehackers; India; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

Vibehackers in Bengaluru, Karnataka, India is seeking a Senior AI Full Stack Architect to design, build, and maintain scalable AI-enabled applications. You will work hands-on on model development and deployment across AWS, Azure, and GCP while applying AI-assisted vibe-coding and white coding practices.

The role emphasizes collaboration with product managers, designers, and engineers to integrate generative AI solutions into existing products, ensure security, and optimize performance in cloud

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Proven experience as a Full Stack Developer with strong proficiency in Python.
• Demonstrated adherence to coding standards (white coding).
• Hands-on knowledge of generative AI concepts, frameworks, and applications.
• Experience developing and deploying models on AWS, Azure, or GCP.
• Good communication and negotiation skills; experience collaborating with cross-functional teams.

Responsibilities

• Design, develop, and maintain scalable full-stack applications using Python and modern frameworks.
• Apply AI-Assisted Vibe-Coding best practices and “white coding” standards for clean, maintainable code.
• Build, train, and deploy generative AI models leveraging cloud infrastructure (AWS, Azure, GCP).
• Integrate machine learning and AI solutions into existing products and services.
• Work with product managers, designers, and engineers; communicate technical concepts to technical and non-technical audiences.
• Negotiate requirements, timelines, and deliverables with stakeholders.
• Participate in code reviews, troubleshooting, and performance optimization.

Skills

Full Stack Development

Generative AI

AI-Assisted Vibe-Coding

White Coding

Cloud Deployment

Collaboration

Communication

Negotiation

Code Review

Troubleshooting

Optimization

System Integration

Data Engineering

Security Best Practices

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Tools

Docker

Kubernetes

Cursor AI

GitHub Copilot

Job description

Explicitly requires AI-Assisted vibe-coding and mentions AI coding assistants like Cursor and GitHub Copilot.

About the Role

Senior AI Full Stack Architect role to design, build, and maintain scalable full-stack applications and generative AI solutions using Python and cloud platforms. The position focuses on hands-on model development and deployment across AWS, Azure, and GCP while collaborating with cross-functional teams and applying AI-assisted vibe-coding and white coding best practices.

Job Description

Role

We are seeking a Senior AI Full Stack Architect / Full Stack AI Developer to design, develop, and maintain scalable full-stack applications using Python and modern frameworks while building, training, and deploying generative AI models on major cloud platforms.

Key Responsibilities

• Design, develop, and maintain scalable full-stack applications using Python and modern frameworks.
• Apply AI-Assisted Vibe-Coding best practices and “white coding” standards for clean, maintainable code.
• Build, train, and deploy generative AI models leveraging cloud infrastructure (AWS, Azure, GCP).
• Integrate machine learning and AI solutions into existing products and services.
• Work with product managers, designers, and engineers; communicate technical concepts to technical and non-technical audiences.
• Negotiate requirements, timelines, and deliverables with stakeholders.
• Participate in code reviews, troubleshooting, and performance optimization.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Proven experience as a Full Stack Developer with strong proficiency in Python.
• Demonstrated adherence to coding standards (white coding).
• Hands-on knowledge of generative AI concepts, frameworks, and applications.
• Experience developing and deploying models on AWS, Azure, or GCP.
• Good communication and negotiation skills; experience collaborating with cross-functional teams.

Preferred Skills

• Containerization and orchestration: Docker, Kubernetes.
• Data engineering experience and working knowledge of Cursor AI, GitHub Copilot.
• Understanding of security best practices for cloud and AI deployments.
• Familiarity with AI platforms and services such as AWS Bedrock, Azure OpenAI, GCP Vertex, Airweave, Temporal AI, LiteLLM, Langgraph, vector databases, and advanced RAG patterns.
• Location: ETV -SEZ1, Bengaluru, Karnataka, India (job snapshot indicates at least one on-site location).
• Experience: 5 - 15 Years.
• Employee Type: Permanent.

Skills

Full Stack Development Generative AI AI-Assisted Vibe-Coding White Coding / Coding Standards Cloud Deployment Collaboration Communication Negotiation Code Review Troubleshooting Optimization System Integration Containerization & CI/CD Data Engineering Security Best Practices