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.
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.
· 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.
· 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.
· 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.
· 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.
· 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.
· 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.
RequirementsRequirements
· 1–3
years of experience in GenAI development, backend development, or MERN
stack.
· Strong understanding of prompt engineering and LLM usage.
· Hands-on experience with React.js, Node.js, Express.js,
and MongoDB.
· Basic knowledge of AWS services like Lambda, IAM, S3, CloudWatch.
· Familiarity with embedding creation and vector search concepts.
· Good programming skills in Python (preferred)
or JavaScript.
· Experience with GitHub for version control and collaboration.
Benefits
- Insurance benefits for the self and the spouse, including maternity benefits.
- Ability to work on many products as the organization is focused on working with several ISVs.
- Monthly sessions to understand the directions of each function and an opportunity to interact with the entire hierarchy of the organization.
- Celebrations are a common place - physical or virtual. Participate in several games with your coworkers.
- Voice your opinions on topics other than your work - Chimera Talks.
- Hybrid working models - Remote + office
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