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Artificial Intelligence Engineer

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Hybrid

Artificial Intelligence Engineer

First Meridian Business Services

Artificial Intelligence Engineer

Skills

SQL QueriesDockerPythonAmazon EC2Machine LearningAIMicrosoft Power PlatformComplianceAzure

23 days ago

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Important information


Contract type:

Permanent

Salary:

₹1,700,000 – ₹2,500,000 / year

Location:

Hyderabad, Telangana, India

Work mode:

Hybrid

Published on:

28 September 2026

What they need


Design, develop, and implement Generative AI, AI/ML, and LLM-based solutions using Python, Azure, Azure OpenAI, and related technologies to address enterprise business requirements.

  • Develop agentic AI workflows using LangChain and LangGraph for query understanding, routing, retrieval, reasoning, tool invocation, and multi-step task execution.
  • Build and integrate Microsoft Copilot solutions that enable users to access organizational knowledge and business capabilities through natural-language interfaces.
  • Develop and integrate Model Context Protocol (MCP)-based tools and services to enable AI agents to securely discover and invoke enterprise tools, APIs, and data sources.
  • Integrate AI capabilities with Microsoft Power Platform, including Power Automate and Power Apps, to support business workflows, automation, and productivity solutions.
  • Integrate structured and unstructured enterprise data, including SQL databases, documents, enterprise knowledge repositories, and APIs, into GenAI applications.
  • Apply prompt-engineering and prompt-optimization techniques to improve response quality, grounding, consistency, accuracy, and reliability.
  • Build Streamlit-based interfaces and prototypes to demonstrate, test, and validate AI and GenAI solutions with business stakeholders.
  • Containerize AI applications using Docker and support CI/CD pipelines and Azure-based deployments to productionize GenAI solutions.
  • Apply LLMOps practices, including monitoring, prompt and version management, observability, scalability, governance, and continuous improvement of AI applications.
  • Ensure that AI solutions follow enterprise security, privacy, compliance, responsible-AI, and data-governance standards.
  • Collaborate with business stakeholders, product owners, data engineers, software engineers, and cloud teams to translate business requirements into scalable, secure, and production-ready AI/ML and GenAI solutions.
  • Good to have knowledge on Amazon Bedrock,EC2, Devops Agents or Azure Container apps,AKS

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