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Senior AI Engineer (Multiple Roles)

NuStudio.AI Verified employer

Actively hiring · Posted 1d ago · JEV2611D4FC7907D2

SalarySalary not disclosed
Experience6–10 yrs
LocationHyderabad, Telangana
Work modeHybrid · Full time
Openings1
ShiftTiming: General Shift Experience: 5+ years","jEXID":"1","jSlug":"senior-full-sta
IndustryIT Services & Consulting

Job description

Were growing at NuStudio.ai the governed operating system for production AI agents serving Fortune-500 enterprises.

The work: make releases zero-downtime, keep the platform running when a zone goes dark, and build GenAI into how the team builds and ships.

What Youll OwnFull-stack features on the platform: Java / Spring Boot services, Vue.js front end, Python for tooling and automationAI in the SDLC: rolling out AI-assisted code review, and using LLMs for test generation, release-readiness checks and runbook automationBlue/Green deployment enablement: backward-compatible DDL, namespace-aware state so services behave correctly in active/passive, and isolated test assets so Green can be validated end-to-end without touching production dataBuild AI agents and integrate to modernize the stack. Design and proof of concept for zero-downtime DDL execution ahead of production cutoversHigh Availability and Disaster Recovery: HA rollout and stabilization for critical services, multi-zone readiness, DR provisioning and sync, failover validationAutomated failover, observability and production runbooksDesign reviews, code reviews, defect fixes, release readiness, and knowledge transfer to client engineersWhat You Bring6+ years as a full-stack engineer: Java, Spring Boot, Vue.js (React is fine if you can pick up Vue), and working PythonStrong data structures and algorithms fundamentalsAI-first daily workflow: youre a proficient user of Claude Code, Codex, Cursor or similar, and use them to design, code, test, debug and document every day. At NuStudio this is expected of everyoneHands-on GenAI in real engineering work: LLM APIs, prompt and context design, judging when AI output is safe to shipWorking knowledge of Blue/Green or active/passive deployments, HA/DR and schema migrationsGCP, CI/CD, automated testing and observabilityComfort working from a jointly prioritized backlog inside a larger pod, under enterprise security and release standardsWhats In It for YouResilience and GenAI work on a Fortune-500 production platform, not slidewareDirect mentorship from the CTO and senior architectsA front-row view of how a serious enterprise AI company gets builtRoom to grow into a Lead / Staff AI Engineer as we scale .

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