Skills

Must have

8-10+ years of hands-on backend engineering experience building large-scale, production-grade systems.
Strong experience designing and building event-driven, distributed systems using technologies like Kafka, streaming platforms, and asynchronous architectures.
Experience building or integrating AI-powered applications, agentic workflows, LLM-based systems, or AI infrastructure is a strong plus.
Solid expertise in software architecture, system design, scalability, reliability, and performance optimisation.
Proficiency in Go, Python, or Rust (at least one) with experience building high-throughput backend services.
Hands-on experience with Docker, Kubernetes, CI/CD pipelines, and cloud-native infrastructure.
Strong understanding of cloud platforms (AWS, GCP, or Azure) and modern DevOps practices.
Experience working with SQL/NoSQL databases, caching technologies (Redis), and scalable data storage solutions.
Familiarity with microservices, observability, monitoring, and production operations in distributed environments.
Strong ownership mindset with the ability to design, build, and operate mission-critical backend platforms.

8-10+ years of hands-on backend engineering experience building large-scale, production-grade systems.
Strong experience designing and building event-driven, distributed systems using technologies like Kafka, streaming platforms, and asynchronous architectures.
Experience building or integrating AI-powered applications, agentic workflows, LLM-based systems, or AI infrastructure is a strong plus.
Solid expertise in software architecture, system design, scalability, reliability, and performance optimisation.
Proficiency in Go, Python, or Rust (at least one) with experience building high-throughput backend services.
Hands-on experience with Docker, Kubernetes, CI/CD pipelines, and cloud-native infrastructure.
Strong understanding of cloud platforms (AWS, GCP, or Azure) and modern DevOps practices.
Experience working with SQL/NoSQL databases, caching technologies (Redis), and scalable data storage solutions.
Familiarity with microservices, observability, monitoring, and production operations in distributed environments.
Strong ownership mindset with the ability to design, build, and operate mission-critical backend platforms.

Principal AI Engineer

Compensation

Not disclosed

Location

Bangalore

Work setup

Not specified

Seniority

Principal

Employment

Not specified

Experience

10+ years

8-10+ years of hands-on backend engineering experience building large-scale, production-grade systems.
Strong experience designing and building event-driven, distributed systems using technologies like Kafka, streaming platforms, and asynchronous architectures.
Experience building or integrating AI-powered applications, agentic workflows, LLM-based systems, or AI infrastructure is a strong plus.
Solid expertise in software architecture, system design, scalability, reliability, and performance optimisation.
Proficiency in Go, Python, or Rust (at least one) with experience building high-throughput backend services.
Hands-on experience with Docker, Kubernetes, CI/CD pipelines, and cloud-native infrastructure.
Strong understanding of cloud platforms (AWS, GCP, or Azure) and modern DevOps practices.
Experience working with SQL/NoSQL databases, caching technologies (Redis), and scalable data storage solutions.
Familiarity with microservices, observability, monitoring, and production operations in distributed environments.
Strong ownership mindset with the ability to design, build, and operate mission-critical backend platforms.

8-10+ years of hands-on backend engineering experience building large-scale, production-grade systems.
Strong experience designing and building event-driven, distributed systems using technologies like Kafka, streaming platforms, and asynchronous architectures.
Experience building or integrating AI-powered applications, agentic workflows, LLM-based systems, or AI infrastructure is a strong plus.
Solid expertise in software architecture, system design, scalability, reliability, and performance optimisation.
Proficiency in Go, Python, or Rust (at least one) with experience building high-throughput backend services.
Hands-on experience with Docker, Kubernetes, CI/CD pipelines, and cloud-native infrastructure.
Strong understanding of cloud platforms (AWS, GCP, or Azure) and modern DevOps practices.
Experience working with SQL/NoSQL databases, caching technologies (Redis), and scalable data storage solutions.
Familiarity with microservices, observability, monitoring, and production operations in distributed environments.
Strong ownership mindset with the ability to design, build, and operate mission-critical backend platforms.