[PW01AI01] AI Engineer
20 hours ago
Hyderabad, Telangana, India
ZettaMine Labs Pvt. Ltd.
Full-time
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Hello All,
Greetings from ZettaMine
Role: AI Engineer
Experience:
6 to 10 Years
Location:
Hyderabad, Pune Notice Period: Immediate Joiners AI Engineering
• Prompt engineering and LLM application delivery
• Agentic workflows
• RAG frameworks
• Cloud-native engineering System Design & Architecture
• GCP/Azure/AWS , plus Docker/Kubernetes
• Event/data streaming familiarity (e.g., Pub/Sub, Kafka/Confluent)
• DevSecOps awareness
• Design highly scalable, resilient, and secure distributed architectures for AI-powered applications.
• Drive key architectural decisions around AI platforms, microservices, data pipelines, event-driven systems, observability, and operational excellence.
• Define non-functional requirements covering scalability, security, availability, latency, maintainability, and cost optimization.
• Conduct architecture reviews and contribute to enterprise design standards. Python Engineering
• Develop production-grade AI services and APIs using Python.
• Create reusable frameworks, SDKs, accelerators, and shared AI components.
• Implement test automation, performance optimization, monitoring, and operational tooling.
• Write clean, maintainable, and secure code following engineering best practices. CI/CD pipelines and release automation
• Security fundamentals: IAM/roles, service accounts, entitlements (AD/ADLDS where relevant #AIEngineer
Experience:
6 to 10 Years
Location:
Hyderabad, Pune Notice Period: Immediate Joiners AI Engineering
• Prompt engineering and LLM application delivery
• Agentic workflows
• RAG frameworks
• Cloud-native engineering System Design & Architecture
• GCP/Azure/AWS , plus Docker/Kubernetes
• Event/data streaming familiarity (e.g., Pub/Sub, Kafka/Confluent)
• DevSecOps awareness
• Design highly scalable, resilient, and secure distributed architectures for AI-powered applications.
• Drive key architectural decisions around AI platforms, microservices, data pipelines, event-driven systems, observability, and operational excellence.
• Define non-functional requirements covering scalability, security, availability, latency, maintainability, and cost optimization.
• Conduct architecture reviews and contribute to enterprise design standards. Python Engineering
• Develop production-grade AI services and APIs using Python.
• Create reusable frameworks, SDKs, accelerators, and shared AI components.
• Implement test automation, performance optimization, monitoring, and operational tooling.
• Write clean, maintainable, and secure code following engineering best practices. CI/CD pipelines and release automation
• Security fundamentals: IAM/roles, service accounts, entitlements (AD/ADLDS where relevant #AIEngineer