Senior AI Engineer

Company: Weekday AI

Location: Bengaluru

Type: Full-time

Posted: 2026-10-14

About this role

๐—ง๐—ต๐—ถ๐˜€ ๐—ฟ๐—ผ๐—น๐—ฒ ๐—ถ๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—ผ๐—ป๐—ฒ ๐—ผ๐—ณ ๐˜๐—ต๐—ฒ ๐—ช๐—ฒ๐—ฒ๐—ธ๐—ฑ๐—ฎ๐˜†'๐˜€ ๐—ฐ๐—น๐—ถ๐—ฒ๐—ป๐˜๐˜€

๐—ฆ๐—ฎ๐—น๐—ฎ๐—ฟ๐˜† ๐—ฟ๐—ฎ๐—ป๐—ด๐—ฒ: ๐—ฅ๐˜€ ๐Ÿฐ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ - ๐—ฅ๐˜€ ๐Ÿฑ๐Ÿฑ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ (๐—ถ๐—ฒ ๐—œ๐—ก๐—ฅ ๐Ÿฐ๐Ÿฌ-๐Ÿฑ๐Ÿฑ ๐—Ÿ๐—ฃ๐—”)

Experience: 5+ yrs

Location: Bengaluru, Karnataka, India

Job Type: Full-time

We are looking for an experiencedย Senior AI Engineerย with strong expertise inย Python, Rust, backend engineering, and production-grade AI systemsย to build and scale intelligent applications and AI-powered platforms. The ideal candidate will combine solid software engineering fundamentals with hands-on experience developing LLM-powered applications, AI agents, and scalable backend services.

You will play a key role in transforming AI capabilities into reliable production systems, focusing on performance, scalability, observability, and maintainability. This position is suited to an engineer who enjoys solving complex technical challenges, taking ownership of end-to-end delivery, and exploring modern AI technologies.

### Requirements

Key Responsibilities

  • Design, build, and maintain production-grade AI applications and backend services usingย **Python and Rust**.
  • Develop and deploy LLM-powered applications, intelligent assistants, AI agents, and automated workflows.
  • Implementย **tool-calling, RAG pipelines, embeddings, vector search, and agent orchestration**ย capabilities.
  • Build scalable APIs, asynchronous processing systems, database integrations, and reusable backend components.
  • Integrate external model APIs, inference services, and model-serving infrastructure into production applications.
  • Evaluate model and application performance, including response quality, latency, reliability, and resource utilisation.
  • Design robust service architectures with appropriate error handling, retries, security, and fault tolerance.
  • Deploy and manage services usingย **Docker, Kubernetes, cloud infrastructure, and CI/CD pipelines**.
  • Implement observability through structured logging, metrics, distribute...

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