LLM Engineer

Posted 3 Hours Ago
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Noida, Gautam Buddha Nagar, Uttar Pradesh, IND
In-Office
Entry level
Edtech
The Role
Develop and optimize LLM-powered applications using GPT, Llama, Gemini, prompt engineering, NLP, and RAG pipelines. Build integrations with LangChain or LlamaIndex, vector databases, embedding models, and REST APIs. Evaluate model quality, reduce hallucinations, optimize latency and cost, and deploy applications in cloud environments while collaborating with data science, engineering, and product teams.
Summary Generated by Built In
  • Work with LLMs such as GPT, Llama, Gemini, and other open-source or commercial models.

  • Develop and optimize prompts to improve model accuracy and response quality.

  • Build Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models.

  • Implement NLP techniques for text processing, summarization, classification, and information extraction.

  • Integrate LLMs with applications using APIs and frameworks such as LangChain or LlamaIndex.

  • Work with vector databases such as FAISS, Pinecone, Chroma, or Weaviate.

  • Evaluate model performance, reduce hallucinations, and optimize response latency and cost.

  • Collaborate with data scientists, software engineers, and product teams to build AI-powered solutions.

  • Deploy and monitor LLM applications in cloud environments.



Requirements
  • Strong knowledge of Python programming.

  • Understanding of Large Language Models (LLMs) and Generative AI.

  • Knowledge of Natural Language Processing (NLP) and prompt engineering.

  • Experience with LangChain, LlamaIndex, or similar frameworks.

  • Understanding of RAG architecture, embeddings, and semantic search.

  • Familiarity with vector databases such as FAISS, Pinecone, or Chroma.

  • Knowledge of REST APIs and application integration.

  • Basic understanding of machine learning and deep learning concepts.

  • Familiarity with Git and cloud platforms such as AWS, Azure, or Google Cloud is an advantage.



Skills Required

  • Strong knowledge of Python programming
  • Understanding of Large Language Models and Generative AI
  • Knowledge of Natural Language Processing and prompt engineering
  • Experience with LangChain, LlamaIndex, or similar frameworks
  • Understanding of RAG architecture, embeddings, and semantic search
  • Familiarity with vector databases such as FAISS, Pinecone, or Chroma
  • Knowledge of REST APIs and application integration
  • Basic understanding of machine learning and deep learning concepts
  • Familiarity with Git
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
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The Company
50 Employees
Year Founded: 2015

What We Do

Training Basket is a Noida-based edtech platform that provides advanced IT training and certification to individuals and organizations worldwide. It offers online and offline learning in technology fields including networking, operating systems, cloud computing, programming, and coding. Its courses emphasize industry-relevant skills and career readiness, with instructor-led classes, practical projects, recognized certificates, and placement support. The company’s mission is to bridge the gap between education and industry.

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