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.

The Job

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.

- Build and operate production-grade AI services and backend applications in Python
- Design and implement LLM-powered workflows, including prompt design, context management, structured outputs, and tool calling
- Define robust contracts for APIs and AI outputs
- Test, evaluate, and improve AI services through automated testing, prompt iteration, and measurable evaluation approaches
- Implement safety and reliability controls such as validation, guardrails, fallbacks, and error handling
- Monitor and improve production systems using logs, metrics, traces,



and AI observability tooling
- Work closely with engineers, product owners, and domain stakeholders to turn ambiguous use cases into production-ready solutions.
- Continuously improving systems through model upgrades, prompt iteration, and operational optimization.

Your Profile

- 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.
- Robust 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.

📌 Sr AI Engineer (Bengaluru)
🏢 Edge Executive Search
📍 Bengaluru