3 - 5 years

7 - 12 Lacs

Posted:10 hours ago| Platform: Naukri logo

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Full Time

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Website Link: https://sparksupport.com/

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What will you be doing?

  • Collaborating with business teams to uncover and define AI/automation opportunities.
  • Engineering and optimising prompts to ensure consistent, high-quality LLM outputs.
  • Building and deploying AI-powered workflows that connect LLMs with business applications, APIs, and automation tools.
  • Implementing RAG (Retrieval-Augmented Generation) pipelines to integrate enterprise data.
  • Rapidly prototyping and iterating on AI solutions to demonstrate business value.
  • Advising on responsible AI practices, governance, and compliance.
  • Staying ahead of the curve with emerging AI tools, frameworks, and trends.

Key Responsibilities:

  • Build, develop and deploy AI applications
  • Design and Develop AI services
  • Setup and develop data ingestion pipelines and components
  • Develop search related components using Azure AI Search
  • Developing and deploying AI/ML models
  • Built and maintain scalable, high-performance AI apps on Azure
  • Create and maintain secure AI platform
  • Collaborate cross-functionally to understand requirements

Preferred Skills & Qualifications:

  • Hands-on experience with LLMs (e.g. GPT, Claude, LLaMA, Azure Cognitive Services, Azure Functions, and Logic Apps.) and prompt engineering.
  • Familiarity with LangChain, LlamaIndex, or similar frameworks.
  • Experience using automation platforms (UiPath, Power Automate, Zapier, n8n) and APIs.
  • Knowledge of vector databases and embeddings for RAG pipelines.

Excellent communication skills and the ability to translate business needs into technical solutions.

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