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Key skills for this role
· 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.
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· 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.
Women-owned AI-led IT services company helping enterprises and software vendors build, modernize, test, and scale digital products.
Visit company websiteJobs and hiring trendsFull-time
Entry · 1+ years experience
Hybrid
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