Intelligent System Designer

3 days ago

Rajkot, Gujarat, India beBeeArtificial Full time ₹ 15,00,000 - ₹ 25,00,000

Job Title:

Intelligent Systems Developer

We are seeking a skilled and experienced Intelligent Systems Developer to join our team. As an expert in designing, building, and scaling intelligent systems, you will be responsible for developing AI/LLM-enabled applications with a focus on modularity, scalability, and maintainability.

  • AI/LLM Application Development
  • Develop and deploy AI/LLM-enabled applications using Large Language Models (LLMs) and other intelligent system technologies.
  • RAG Pipeline Development
  • Design, prototype, and implement RAG pipelines tailored for enterprise or product-based use cases, optimizing for retrieval relevance and accuracy.
  • Data Transformation and Knowledge Management
  • Work with unstructured data — documents, transcripts, APIs — and transform them into structured knowledge systems using embeddings, vector stores, and knowledge graphs.
  • GenAI Tool Evaluation and Selection
  • Evaluate and select appropriate GenAI tools, frameworks, and models, balancing performance, latency, cost, and data security.
  • Application Monitoring and Improvement
  • Monitor application behavior and refine prompts, retrieval logic, and context engineering to enhance response quality.
  • Edge Case Identification and Risk Communication
  • Identify and communicate system edge cases and risks — including hallucination, bias, prompt injection, and model over-reliance.
  • Staying Current with AI Research and Methodologies
  • Stay current with cutting-edge AI research, frameworks, and methodologies, and assess their potential for production use.
  • Cross-Functional Collaboration
  • Collaborate with cross-functional teams including product, design, and backend to integrate intelligent features seamlessly.
  • Technical Documentation
  • 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 (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).

Preferred Qualifications:

  • Exposure to open-source LLMs and toolkits.
  • Experience with evaluation metrics, benchmarking, or implementing human-in-the-loop feedback systems.
  • Familiarity with AI observability, logging, and monitoring best practices.
  • Contributions to the AI community, such as open-source projects, research papers, blog posts, or talks.

Skills:

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

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