We are looking for a GenAI Engineer & MERN Stack Developer with 1–3 years of hands-on experience in building AI-driven applications and full-stack web development. The ideal candidate should have strong skills in prompt engineering, experience using GenAI platforms (OpenAI / AWS Bedrock), and a solid foundation in the MERN stack (MongoDB, Express.js, React.js, Node.js).
This role is ideal for someone who enjoys learning fast, solving real-world problems, and working with modern AI tools.

Key Responsibilities

1. Prompt Engineering & GenAI Development

·       Write, test, and refine prompts for LLMs (OpenAI, Claude, AWS Bedrock, etc.).

·       Build small GenAI workflows such as question-answering, summarization, and text generation.

·       Experiment with prompt variations to improve accuracy and consistency.

·       Assist in building chatbots, content-generation tools, and automated agents.

2. AWS & Cloud Basics

·       Work with AWS services like Lambda, S3, IAM, CloudWatch for small serverless functions and automation.

·       Integrate GenAI APIs using AWS Bedrock or OpenAI.

·       Deploy basic backend services and manage access permissions.

3. Vector Search & Knowledge Bases

·       Store and retrieve embedding using MongoDB Atlas Vector Search.

·       Help create simple knowledge bases for RAG (Retrieval-Augmented Generation) pipelines.

·       Implement chunking, indexing and testing retrieval quality.

·       Sync data sources between GenAI platforms and MongoDB Atlas.

4. MERN Stack Development

·       Build responsive user interfaces using React.js.

·       Create REST APIs using Express.js and Node.js.

·       Work with MongoDB for CRUD operations, schemas, and data modelling.

·       Integrate frontend applications with backend APIs and GenAI systems.

5. Backend Development & Automation

·       Write efficient backend code using JavaScript or Python (Python preferred for AI tasks).

·       Create API endpoints to interact with GenAI models, Bedrock, or external services.

·       Automate small tasks such as data processing, cleaning, or uploading.

6. Collaboration & Version Control

·       Use GitHub for commits, PRs, branching, and code reviews.

·       Work closely with team members to build and test end-to-end GenAI features.

·       Participate in requirement discussions and sprint planning.

Good to Have (Optional, Not Mandatory for 1–2 Years)

·       Experience with AWS ECS/ECR for basic container handling.

·       Understanding of OpenAI Assistants, Bedrock Agents, or LangChain.

·       Exposure to RAG pipelines, embedding, vector DBs, or LLM-based automation.

·       Basic UI/UX understanding for React-based dashboards.