Data Visionary

2 days ago


Aligarh, Uttar Pradesh, India beBeeExpert Full time ₹ 25,00,000 - ₹ 30,00,000

About the Role

We are seeking a highly motivated and technically skilled professional to join our team. The ideal candidate will have hands-on expertise in designing, building, and scaling intelligent systems.

Key Responsibilities:

  • Design and prototype AI/LLM-enabled applications with a focus on modularity, scalability, and maintainability.
  • Develop and fine-tune retrieval-augmented generation pipelines for enterprise or product-based use cases.
  • 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 generative AI 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 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 (LLMs) — including concepts like embeddings, context windows, transformers, token limits, and memory strategies.
  • Proven experience implementing retrieval-augmented generation pipelines and working with vector databases and knowledge graphs.
  • Familiarity with generative AI frameworks and orchestration tools.
  • 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.

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.

Skills:

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

Location: Aligarh, India

Industry: Technology



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