Intelligent Systems Architect

2 days ago

Mysore, Karnataka, India beBeeDataScientist Full time ₹ 16,04,000 - ₹ 21,90,000
Artificial Intelligence Specialist Role Overview

We are looking for a skilled professional to lead the development and deployment of intelligent systems. The ideal candidate will possess expertise in Generative AI (GenAI), Retrieval-Augmented Generation (RAG), vector databases, and cloud-native applications.

The selected individual will be responsible for designing, prototyping, and deploying AI/LLM-enabled applications with a focus on modularity, scalability, and maintainability.

  • Develop and fine-tune RAG 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.

Key qualifications include 3–4 years of experience in AI/ML, data engineering, or full-stack development, with a strong foundation in intelligent system design. The ideal candidate should have hands-on expertise in Large Language Models (LLMs) and familiarity with GenAI frameworks and orchestration tools such as LangChain, LlamaIndex, or similar.

Preferred Skills & Experience
  • 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.
What We Offer
  • 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: Generative AI (GenAI), RAG pipelines, Python, API integration, AI/LM

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