Intelligent System Designer

4 days ago

Malappuram, Kerala, India beBeeDesigner Full time ₹ 15,00,000 - ₹ 25,00,000

Intelligent System Designer

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We are seeking a highly motivated and technically sound professional with 3–4 years of experience in designing, building, and scaling intelligent systems.

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The ideal candidate will bring hands-on expertise in Generative AI (GenAI), RAG pipelines, vector databases, and cloud-native applications.

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A deep understanding of the mechanics, ethical considerations, and trade-offs involved in deploying AI technologies in production environments is essential.

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Main Responsibilities

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  • Design, prototype, and deploy AI/LLM-enabled applications with a focus on modularity, scalability, and maintainability.\
  • Develop and fine-tune RAG pipelines tailored for enterprise or product-based use cases, optimizing for retrieval relevance and accuracy.\
  • Work with unstructured data — documents, transcripts, APIs — and transform them into structured knowledge systems using embeddings, vector stores, and knowledge graphs.\
  • Evaluate and select appropriate GenAI tools, frameworks, and models, balancing performance, latency, cost, and data security.\
  • Monitor application behavior and refine prompts, retrieval logic, and context engineering to enhance response quality.\
  • Identify and communicate system edge cases and risks — including hallucination, bias, prompt injection, and model over-reliance.\
  • Stay current with cutting-edge AI research, frameworks, and methodologies, and assess their potential for production use.\
  • Collaborate with cross-functional teams including product, design, and backend to integrate intelligent features seamlessly.\
  • Document technical decisions, model behavior, system limitations, and assumptions in a clear and accessible manner.\
  • Create effective solutions that meet the company's business needs and drive growth through innovation.
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Key Skills & Experience

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  • 3–4 years of hands-on experience in AI/ML, data engineering, or full-stack development, with a strong foundation in intelligent system design.\
  • Deep understanding of Large Language Models (LLMs) — including concepts like embeddings, context windows, transformers, token limits, and memory strategies.\
  • Proven experience implementing RAG pipelines and working with vector databases and Knowledge Graphs.\
  • Familiarity with GenAI frameworks and orchestration tools such as LangChain, LlamaIndex, or similar.\
  • Proficiency in Python and experience developing backend logic and integrating with APIs.\
  • Awareness of ethical and security concerns in AI — including safety, fairness, and responsible deployment.\
  • Ability to assess and articulate trade-offs in system design (e.g., cloud vs. edge deployment, fine-tuning vs. prompt engineering, open vs. closed models).\
  • Strong problem-solving skills and ability to think creatively.
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Benefits

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  • A competitive compensation package that reflects your skills and experience.\
  • Opportunities for learning, research, and career growth in cutting-edge AI technologies.\
  • A collaborative, transparent, and inclusive work environment.
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Required Skills

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  1. \
  2. Generative AI (GenAI)\
  3. RAG pipelines\
  4. Python\
  5. API integration\
  6. AI/LM

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