Data Innovation Strategist

2 days ago

Salem, Tamil Nadu, India beBeeIntelligent Full time ₹ 1,00,00,000 - ₹ 2,00,00,000
Artificial Intelligence Engineer Opportunity

We are seeking an exceptionally skilled Artificial Intelligence Engineer with 3–4 years of experience in designing, building, and scaling intelligent systems. This individual will be responsible for developing and deploying AI/LLM-enabled applications that drive business growth.

Key Responsibilities:
  • Design, prototype, and deploy AI/LLM-enabled applications with a focus on modularity, scalability, and maintainability to enhance overall system performance.
  • Develop and fine-tune RAG pipelines tailored for enterprise or product-based use cases, optimizing for retrieval relevance and accuracy to improve user experience.
  • Work with unstructured data — documents, transcripts, APIs — and transform them into structured knowledge systems using embeddings, vector stores, and knowledge graphs to unlock valuable insights.
  • Evaluate and select appropriate GenAI tools, frameworks, and models, balancing performance, latency, cost, and data security to ensure seamless integration.
  • Monitor application behavior and refine prompts, retrieval logic, and context engineering to enhance response quality and meet business objectives.
  • Identify and communicate system edge cases and risks — including hallucination, bias, prompt injection, and model over-reliance — to stakeholders and develop mitigation strategies.
  • Stay current with cutting-edge AI research, frameworks, and methodologies, and assess their potential for production use to drive innovation.
  • Collaborate with cross-functional teams including product, design, and backend to integrate intelligent features seamlessly and drive business results.
  • Document technical decisions, model behavior, system limitations, and assumptions in a clear and accessible manner to facilitate knowledge sharing and future development.
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 to drive business outcomes.
  • Deep understanding of Large Language Models (LLMs) — including concepts like embeddings, context windows, transformers, token limits, and memory strategies — to optimize AI-driven solutions.
  • Proven experience implementing RAG pipelines and working with vector databases and Knowledge Graphs to unlock valuable insights and drive business growth.
  • Familiarity with GenAI frameworks and orchestration tools such as LangChain, LlamaIndex, or similar to enable seamless integration and drive innovation.
  • Proficiency in Python and experience developing backend logic and integrating with APIs to drive business results.
  • Awareness of ethical and security concerns in AI — including safety, fairness, and responsible deployment — to ensure AI-driven solutions align with business values.
  • 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) to drive informed decision-making.
Preferred Qualifications:
  • Exposure to open-source LLMs and toolkits (e.g., Llama, Mistral, Claude, etc.) to stay up-to-date with the latest advancements in AI.
  • Experience with evaluation metrics, benchmarking, or implementing human-in-the-loop feedback systems to drive continuous improvement and optimization.
  • Familiarity with AI observability, logging, and monitoring best practices to ensure seamless integration and drive business results.
  • Contributions to the AI community, such as open-source projects, research papers, blog posts, or talks, to demonstrate expertise and passion for AI-driven innovation.

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