LTM
GENAi Developer
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Hybrid
Published on:
15 September 2026
What they need
Skill- GenAI Developer
Experience- 3 to 10 Years
Role
1. Gen AI Developer ( Mandatory Skil- Any Cloud experience like AWS/GCP/Azure/ and having experience in AI, LLM,ML,RAG)
2. Gen AI Lead ( Mandatory Skil- Any Cloud experience like AWS/GCP/Azure/ and having experience in AI Architect, LLM,ML,RAG)
Role Overview
We are looking for a seasoned Senior Cloud Application Architect / Lead Engineer with strong hands-on experience across AWS, Azure, and GCP. The role focuses on architecting, developing, and deploying enterprise-grade cloud-native applications, including web and mobile applications, with deep exposure to Kubernetes, ecosystem deployments, and AI-driven application architectures.
The ideal candidate will bring strong expertise in Cloud Infra, particularly for custom applications and database-centric workloads, while also contributing to modern AI/LLM-based solutions.
Key Responsibilities
- Design, develop, and deploy cloud-native applications across AWS, Azure, and GCP.
- Lead application architecture, migration, and modernization initiatives.
- Architect and deploy web and mobile applications with scalability, resiliency, and security best practices.
- Design, implement, and operate containerized platforms using Docker and Kubernetes.
- Deploy, configure, and manage custom applications on Cloud Infra, including integrations with multi-cloud environments.
- Work closely with database teams on DB architecture, performance tuning, and cloud-native DB services.
- Design and implement AI-enabled applications and agent-based architectures.
- Apply Retrieval-Augmented Generation (RAG) patterns in enterprise AI solutions.
- Collaborate with DevOps, Security, and Platform teams to ensure CI/CD, observability, and governance standards.
- Provide technical leadership and mentoring to junior engineers and teams.
Cloud Platforms
Strong hands-on experience with:
AWS, Microsoft Azure, and Google Cloud Platform
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