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Job Description

About Grey chain :

A Generative AI-as-a-service, Mobile & Digital Transformation firm helping organizations reimagine user experiences with Disruptive & Transformational thinking and partnership.

Trusted by : UNICEF, BOSE, KFINTECH, WHO and many Fortune 500 Companies Home of over 110 Product Engineering nerds building the next generation of Digital Products.

Primary Industries : Banking & Financial Services, Non-Profits, Retail & eCommerce, Consumer Goods and Consulting.

We have a strong workforce of highly skilled and motivated software professionals who are responsible for understanding global business requirements, writing technical specification, designing and delivering an optimal

solution to business.

Our team works in partnership with our customers to deliver optimal solution suiting customer needs.
We have a flexible working model to have a great work life balance and are employee friendly.


Key Responsibilities :


- Design and implement scalable backend architectures using Node.js for GenAI features like chatbots, AI agents, and prompting workflows.

- Develop and maintain RESTful APIs for integration with AI models, front-end apps, and data sources.

- Build efficient server-side logic for real-time AI interactions, data processing, and error handling.

- Manage databases with PostgreSQL and SQL, ensuring data integrity and optimization for AI-driven applications.

- Integrate LangChain and LangGraph for building and orchestrating AI agents, chains, and stateful workflows.

- Collaborate on prompt engineering and AI model integrations to enhance chatbot capabilities.

- Write clean, efficient code; conduct code reviews, debugging, and testing.


Must-Have Qualifications and Skills :


- 3-5 years of experience as a Node.js backend developer, ideally in AI applications like chatbots or agents.

- Proficiency in frameworks like Nest.js and Express.js for modular backend services.

- Expertise in RESTful APIs, including security, authentication, and versioning.

- Strong experience with PostgreSQL and SQL for database design and querying.

- Knowledge of Generative AI concepts, including prompting, LangChain for AI chains, and LangGraph for multi-agent

systems.

- Skills in asynchronous programming and handling server-side logic for scalable solutions.


Good-to-Have Skills :


- Familiarity with Git for version control.

- Experience with CI/CD pipelines for automated deployments.

- Knowledge of Docker and Kubernetes for containerization and orchestration.

- Exposure to cloud platforms (e.g., AWS, Azure) and microservices architecture.

- Understanding of NLP tools or performance monitoring in Node.js environments


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