Senior AI Engineer
Company: Weekday AI
Location: Bengaluru
Type: Full-time
Posted: 2026-10-14
About this role
๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ฐ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ฑ๐ฑ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ฐ๐ฌ-๐ฑ๐ฑ ๐๐ฃ๐)
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...