Artificial Intelligence Systems Specialist

5 days ago


Thoothukudi, Tamil Nadu, India beBeeSystem Full time ₹ 15,00,000 - ₹ 20,00,000
Intelligent System Designer

We are seeking a skilled professional to lead the design, development, and deployment of intelligent systems.

  • Analyze business requirements and develop system architecture to meet project objectives.
  • Collaborate with cross-functional teams to integrate AI/ML features into existing applications.
  • Evaluate and implement RAG pipelines using GenAI frameworks like LangChain or LlamaIndex.
  • Work with unstructured data sources and transform them into structured knowledge systems using embeddings and vector stores.

Key Responsibilities:

  1. Design and prototype AI/ML-enabled applications focusing on modularity, scalability, and maintainability.
  2. Develop and fine-tune RAG pipelines tailored for enterprise use cases, optimizing for retrieval relevance and accuracy.
  3. Evaluate and select appropriate GenAI tools, balancing performance, latency, cost, and data security.
  4. Identify and communicate system edge cases and risks — including hallucination, bias, prompt injection, and model over-reliance.

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.

Preferred Qualifications (Nice to Have):

  • Exposure to open-source LLMs and toolkits (e.g., Llama, Mistral, Claude, etc.).
  • Experience with evaluation metrics, benchmarking, or implementing human-in-the-loop feedback systems.
  • Familiarity with AI observability, logging, and monitoring best practices.

Benefits:

  • Competitive compensation package.
  • Opportunities for learning, research, and career growth in cutting-edge AI technologies.
  • A collaborative, transparent, and inclusive work environment.

Skills:

  • Generative AI (GenAI)
  • RAG pipelines
  • Python
  • API integration
  • AI/LM


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