Senior AI Engineer

EDGE Executive Search; India; Hybrid; INR 4,000,000 - 8,000,000; Full time

Job summary

EDGE Executive Search client, a marquee global technology company, seeks a Senior AI Engineer in India to design, build, and operate production-grade AI applications. You will develop backend services and APIs that integrate large language models into business workflows with emphasis on reliability, safety, observability, and maintainability.

You should be proficient in Python, ship LLM-powered systems to production, own services end-to-end, and adapt as models evolve.

Qualifications

• Strong Python and backend engineering skills for production-grade services and APIs.
• Proven experience shipping LLM-powered applications in production.
• Experience with prompt engineering, context management, and tool calling.

Responsibilities

• Design, build, and operate production-grade AI applications.
• Develop backend services and APIs integrating large language models into workflows.
• Ensure reliability, observability, and maintainability of AI systems.

Skills

Python

Backend engineering

LLM integration

API design

Prompt engineering

LangChain

Observability

AI safety

Java/Kotlin

IaC

Tools

Azure OpenAI

OpenAI

Bedrock

Job description

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, andoperateproduction-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 requirementsevolve, 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 asAzureOpenAI,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 asLangChain, MCP, RAG, Graph databases.
• Familiarity with platform engineering practices such as Infrastructure as Code and performance testing for production APIs.
• Experience working withJava or Kotlin.