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Senior AI Engineer

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Hybrid

Senior AI Engineer

EDGE Executive Search

Senior AI Engineer

Skills

KotlinPythonJavaAIAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

India

Work mode:

Hybrid

Published on:

19 September 2026

What they need


Hi,

Our client is an India's marquee global technology company. They are an international flag-bearer of technical and managerial excellence. With offices around the globe, the company has a comprehensive presence across multiple segments of the IT product and service industries.

Location: PAN India Open

Job Role:

We are looking for a Senior AI Engineer to design, build, and operate production-grade AI applications. In this role, you will develop backend services and APIs that integrate large language models into business workflows, with a strong focus on reliability, safety, observability, and maintainability.

Strong software engineering fundamentals and hands-on experience delivering LLM-powered systems to production. You should be comfortable owning services end to end, adapting them as models and requirements evolve, and helping teams adopt effective AI engineering practices.

  • 7+ years of Strong Python and backend engineering skills for building production-grade services and APIs.
  • Proven experience developing and shipping LLM-powered applications in production.
  • Strong understanding of prompt engineering, structured outputs, context management, and tool calling.
  • Experience integrating foundation models and LLM platforms such as Azure OpenAI, OpenAI, or Bedrock.
  • Strong experience in API design, testing, deployment discipline, observability, evaluation, and failure handling.
  • Solid practical understanding of AI safety, reliability, and evaluation, including guardrails, fallback patterns, and output validation.
  • A pragmatic approach to solving messy real-world problems with clean, maintainable systems.
  • Experience designing and operating LLM systems with orchestration frameworks such as LangChain, MCP, RAG, Graph databases.
  • Familiarity with platform engineering practices such as Infrastructure as Code and performance testing for production APIs.
  • Experience working with Java or Kotlin.

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