Full Stack Developer with AI/ GenAI Experience

Gokool Digital; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Gokool Digital in Bengaluru, India seeks an experienced Full Stack Developer with AI/GenAI expertise to design, develop, and maintain AI Agent platforms and applications. You will work across frontend, backend, cloud, testing, and AI components with cross‑functional teams.

The role requires 6–10 years of hands-on Full Stack experience and strong skills in Python, React, TypeScript, Chakra UI, and cloud services (AWS/Azure). Immediate joiners are preferred.

Qualifications

• 6–10 years of proven experience as a Full Stack Software Engineer in a platform/product setting.
• Hands-on proficiency in Python, React, TypeScript, and Chakra UI.
• Experience with AWS or Azure and automated testing, CI/CD practices.

Responsibilities

• Design, develop, and maintain AI Agent platforms and applications using Python, React, TypeScript, and Chakra UI.
• Build AI Agents for various organizations and business use cases across the company.
• Collaborate with product managers, designers, backend engineers, and cross‑functional teams.
• Develop scalable and maintainable full‑stack solutions.
• Participate in code reviews and provide constructive technical feedback.
• Implement and maintain automated testing, including unit and functional tests.
• Stay up to date with Full Stack and AI/GenAI developments and trends.
• Contribute to architecture discussions and continuous improvement initiatives.

Skills

Python

React

TypeScript

Chakra UI

Git

Automated testing

OpenSearch/Elasticsearch

LangChain

LangGraph

AI/GenAI

CI/CD

Agile/Scrum

Cloud platforms

Tools

AWS

Azure

AWS Lambda

Amazon S3

Amazon ECS

Load Balancers

OAuth 2.0

CI/CD pipelines

Job description

We are looking for an experienced Full Stack Developer with AI/GenAI experience to design, develop, and maintain AI Agent platforms. The ideal candidate should have strong hands‑on experience in Python, React, TypeScript, and modern cloud technologies, along with exposure to AI/GenAI and AI Agent development.

The candidate will work closely with product managers, designers, backend engineers, and cross‑functional teams to build scalable, high‑quality AI‑powered applications and user interfaces.

Key Responsibilities

• Design, develop, and maintain AI Agent applications and platforms using Python, React, TypeScript, and Chakra UI.
• Build and enhance AI Agents for various organizations and business use cases across the company.
• Collaborate with product managers, designers, backend engineers, and other cross‑functional teams to deliver high‑quality user interfaces and applications.
• Develop scalable and maintainable full‑stack solutions.
• Participate in code reviews and provide constructive technical feedback.
• Implement and maintain automated testing, including unit and functional tests.
• Stay up to date with the latest developments, trends, and technologies in Full Stack Development and AI/GenAI.
• Contribute to technical discussions, architecture decisions, and continuous improvement initiatives.

Basic Qualifications

• 6-10 years of proven experience as a Full Stack Software Engineer, preferably in a platform/ product engineering environment.
• Strong hands‑on proficiency in:
• Python
• React
• TypeScript
• Chakra UI
• Experience with and strong commitment to automated testing, including unit and functional testing.
• Experience with cloud platforms such as AWS or Azure.
• Hands‑on experience with cloud services such as:
• AWS Lambda
• Amazon S3
• Amazon ECS
• Load Balancers
• Experience with version control systems such as Git.
• Strong problem‑solving and analytical skills with attention to detail.
• Excellent communication and teamwork skills.
• Ability to work effectively in a cross‑functional and collaborative environment.

Preferred Qualifications

• Experience with OpenSearch / Elasticsearch.
• Experience with LangChain and LangGraph.
• Experience building AI Agent platforms or AI‑powered applications.
• Knowledge of modern authorization and authentication mechanisms such as OAuth 2.0.
• Experience with CI/CD pipelines and DevOps practices.
• Familiarity with Agile/Scrum development methodologies.
• Practical understanding of Generative AI, LLMs, and AI Agent architectures.

Ideal Candidate Profile The ideal candidate is a strong full‑stack engineer with hands‑on experience in Python, React, and TypeScript, combined with practical exposure to AI/GenAI and AI Agent platforms. The candidate should be comfortable working across frontend, backend, cloud, testing, and AI components while collaborating effectively with cross‑functional teams. Immediate joiners are strongly preferred.