Engineer AI Platform
Empower Retirement (company site, opens in a new tab)1–5 yrsBengaluruHybridDirect career pageEst. 10–18 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, deploy, and maintain reusable AI platform services, APIs, SDKs, and automation patterns for enterprise-wide usage.
- Integrate AI platform with LLM services, AI gateways, orchestration frameworks, vector/search services, and enterprise identity patterns ensuring operational stability and security.
- Support CI/CD pipelines, infrastructure-as-code, automated testing, telemetry, and troubleshoot platform incidents across development and test environments.
Minimum Requirements
- 1-5 years experience in backend services, APIs, automation, cloud-native or platform services development.
- Proficiency in Python and modern software engineering practices; JavaScript/TypeScript or Java/.NET is a plus.
- Experience with Azure ecosystem (Azure DevOps or GitHub Enterprise), CI/CD, containers, infrastructure-as-code, logging, monitoring, and secure development.
- Education in Computer Science, Engineering, Data/Analytics, Business/Technology, Risk/Governance or equivalent experience.
Ideal Candidate Profile
- Experienced in delivering backend platform components within cloud-native environments with emphasis on automation and operational support.
- Familiar with AI development patterns including LLM application, retrieval augmented generation (RAG), prompt orchestration, vector search, model evaluation, and AI observability.
- Works effectively with cross-functional teams including architecture, cybersecurity, data, and solution delivery to meet enterprise security and operational controls.