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.
###
Requirements
Requirements
================
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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