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Intelligent Systems Developer

3 weeks ago

Nagpur, Maharashtra, India beBeeData Full time US$ 1,45,000 - US$ 1,85,000
Job Title

We are seeking a highly motivated and technically sound Data Analyst with 3–4 years of experience in designing, building, and scaling intelligent systems. The ideal candidate will bring hands-on expertise in statistical analysis, data visualization, and cloud-native applications.

  • Design, prototype, and deploy AI/LLM-enabled applications with a focus on modularity, scalability, and maintainability.
  • Develop and fine-tune 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.
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.
Benefits
  • Competitive compensation and performance-based bonuses
  • Opportunities for learning, research, and career growth in cutting-edge AI technologies
  • A collaborative, transparent, and inclusive work environment
Others
  • Generative AI (GenAI)
  • RAG pipelines
  • Python
  • API integration
  • AI/LM