Gen AI Developer
Summary
Senior GenAI engineer/lead/architect role in Bhubaneswar building and deploying enterprise cloud-native, AI-driven applications using Gen AI, RAG, LLMs, ML, and LangChain on AWS/Azure/GCP. Day-to-day covers app architecture, Docker/Kubernetes deployments, database tuning, and mentoring junior engineers.
Role : GEN AI Engineer
Experience- 5 -12 yrs
Location- Bhubaneshwar
Responsibilities
1. GenAI Developer ( Mandatory Skil- Gen AI,RAG ,LLM, ML, Langchain and Any Cloud experience like AWS/GCP/Azure/)
2.GenAI Lead ( Mandatory Skill- Gen AI, RAG,LLM, ML ,Langchain and Any Cloud experience like AWS/GCP/Azure/)
3. Gen AI Architect ( Mandatory Skil- ( Mandatory Skill- Gen AI ,RAG,LLM ,ML, Langchain and Any Cloud experience like AWS/GCP/Azure/ and having experience in AI Architect)
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