Senior AI Engineer

Nasiko

Bengaluru

On-site

INR 1,500,000 - 2,800,000

Full time

12 days ago

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Job summary

Nasiko seeks an experienced backend engineer in Bengaluru to design and build scalable, production-grade systems with a focus on event-driven architectures and microservices. Proficiency in Go, Python, or Rust is required, with hands-on Docker, Kubernetes, CI/CD, and cloud-native practices.

You will own the backend stack, work across distributed environments, optimize performance and reliability, and explore AI/LLM integrations. Experience with Kafka and cloud platforms is highly valued.

Qualifications

  • 4-9 years of hands-on backend engineering experience.
  • Experience with event-driven, distributed systems using Kafka and streaming platforms.
  • Experience with AI-powered apps, LLM-based systems, or AI infrastructure is a plus.
  • Strong software architecture, scalability, reliability, and performance optimization.
  • Proficiency in Go, Python, or Rust (at least one).
  • Hands-on Docker, Kubernetes, CI/CD, and cloud-native infrastructure.
  • Cloud platforms (AWS, GCP, Azure) and modern DevOps practices.
  • Experience with SQL/NoSQL databases, Redis, and scalable data storage.
  • Familiarity with microservices, observability, monitoring, and production operations.
  • Ownership mindset to design, build, and operate mission-critical backend platforms.

Skills

Backend engineering
Event-driven systems
Distributed systems
Go/Python/Rust
Cloud-native infrastructure
System design
Observability/Monitoring
Ownership mindset
AI/LLM workflows

Tools

Kafka
Docker
Kubernetes
CI/CD
AWS
GCP
Azure
SQL/NoSQL
Redis

Job description

Requirements:

  • 4-9 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 optimization.
  • 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.
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