
About the Role:
The selected candidate will be part of a small, fast-moving team focused on building LLM-powered agentic systems and next-generation AI products. This role involves hands-on work with retrieval-augmented generation (RAG), multi-agent coordination, and tool-using AI architectures.
Key Responsibilities:
- Design and implement components for LLM-based systems (retrievers, planners, memory, evaluators).
- Build and maintain RAG pipelines using vector databases and embedding models.
- Experiment with reasoning frameworks like ReAct, Tree of Thought, and Reflexion.
- Collaborate with backend and infra teams to deploy and optimize agentic applications.
- Research and evaluate open-source LLM frameworks to identify best-fit architectures.
- Contribute to internal tools for evaluation, benchmarking, and scaling AI agents.
Required Skills:
- Strong foundation in ML/DL theory and implementation (PyTorch preferred).
- Understanding of transformer architectures, embeddings, and LLM mechanics.
- Hands-on experience with prompt engineering, tool calling, and structured output design.
- Proficiency in Python, Git/GitHub, and data processing pipelines.
- Familiarity with RAG systems, vector databases, and API-based model inference.
- Ability to write clean, modular, and reproducible code.
Preferred Skills:
- Experience with LangChain, LangGraph, Autogen, or CrewAI.
- Hands-on with the Hugging Face ecosystem (transformers, datasets, etc.).
- Working knowledge of Redis, PostgreSQL, MongoDB.
- Experience with Docker, deployment workflows, and MLOps (CI/CD, model versioning, cloud).
- Familiarity with OpenAI, Anthropic, vLLM, or Ollama APIs.
What We Value:
- Deep understanding of fundamentals over tool familiarity.
- A researcher’s mindset with an engineer’s execution ability.
- Collaborative, growth-oriented approach to problem-solving.
Preferred Background:
We are particularly looking for candidates from IITs, IIITs, NITs, or reputed research institutions, with a strong research or applied AI/ML background.

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Exp Level: 2-4 years
Key Responsibilities
• Develop, test, debug and document new and existing components to ensure that our software meets business, quality and operational needs.
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• Collaborate with peer organizations, devops, support organizations on technical issues and provide guidance.
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Required Skills:
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- 1 - 4 years experience as a Full-Stack Developer
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Qrata is currently searching for MERN stack developer for Omani start up Delivery Company.
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It’s envisions itself as the ideal delivery and discovery platform for everything under the sky. With customer satisfaction on top of our priority list ,it ensures that customers receive the best of both the worlds. A wide range of products and fast efficient delivery are the areas where the company constantly wants to excel.
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About the company:
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Important: https://www.youtube.com/watch?v=7QnyJsKedz8" target="_blank">Check out our company pitch (6 min video) to understand this goal - https://www.youtube.com/watch?v=7QnyJsKedz8" target="_blank">https://www.youtube.com/watch?v=7QnyJsKedz8
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