AI System Designer

1 day ago

Nashik, Maharashtra, India beBeeDesigner Full time ₹ 15,00,000 - ₹ 18,00,000

Job Title: AI System Designer

We are seeking a skilled professional to design and develop intelligent systems that leverage the power of Generative AI, Retrieval-Augmented Generation, and vector databases. The ideal candidate will bring hands-on expertise in building scalable applications with a focus on modularity and maintainability.

Key Responsibilities:

  • Design, prototype, and deploy AI/LLM-enabled applications tailored for enterprise or product-based use cases.
  • Develop and fine-tune RAG pipelines optimized for retrieval relevance and accuracy.
  • Transform unstructured data into structured knowledge systems using embeddings, vector stores, and knowledge graphs.
  • Evaluate and select 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 assessing their potential for production use.
  • Collaborate with cross-functional teams to integrate intelligent features seamlessly.
  • Document technical decisions, model behavior, system limitations, and assumptions in a clear and accessible manner.

Required Skills & Experience:

  • 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 concepts including 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.

Preferred Qualifications (Nice to Have):

  • Exposure to open-source LLMs and toolkits.
  • Experience with evaluation metrics, benchmarking, or human-in-the-loop feedback systems.
  • Familiarity with AI observability, logging, and monitoring best practices.
  • Contributions to the AI community.

Skills:

  1. Generative AI
  2. RAG Pipelines
  3. Python
  4. API Integration
  5. AI/LM

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