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4 дня назад

Principal Software Development Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Principal Software Development Engineer (AI): Building and operating full-stack systems for customer success and support, including myF5, case management, knowledge, and agent tooling, with an accent on scalable cloud services, data platforms, CI/CD, and AI integration. Focus on designing production AI applications with RAG, embeddings, vector stores, and predictive pipelines while ensuring observability, security, and operational reliability.

Location: Hyderabad, India (SEZ)

Company

hirify.global develops cybersecurity and application delivery solutions that help organizations create, secure, and operate applications.

What you will do

  • Architect and deliver full-stack systems for myhirify.global, case management, knowledge, and agent tooling.
  • Build React/Next.js and TypeScript frontends with Node, Python, Go, and Java backends and production APIs.
  • Design public-cloud architectures using managed databases, object storage, networking, IAM, and secure service-to-service patterns.
  • Develop data platforms with relational and NoSQL databases, caching, search, event streams, object storage, and vector or semantic stores.
  • Own CI/CD, infrastructure as code, containerization, Kubernetes operations, observability, SLAs, security, and compliance.
  • Integrate enterprise platforms and mentor engineers while partnering with Product, Support Operations, Security, and ML teams.

Requirements

  • 10+ years of experience building full-stack systems at scale.
  • Strong experience with React/Next.js, TypeScript, and at least one of Node, Python, Go, or Java.
  • Deep Azure and/or AWS experience, including compute, networking, managed databases, and object storage.
  • Hands-on experience with Terraform, ARM or Bicep, CI/CD tools, Docker, and Kubernetes.
  • Experience with Redis, Elasticsearch or Coveo, Kafka or Kinesis, observability, security, and production operations.
  • Production experience building predictive and generative AI applications, including RAG, embeddings, vector stores, and predictive pipelines; BS/MS in Computer Science or equivalent experience.

Nice to have

  • Experience with customer success or support systems, portals, or knowledge platforms.
  • Familiarity with LLM integration patterns and vector databases such as FAISS or Milvus.

Culture & Benefits

  • Full-time employment within a cybersecurity-focused organization.
  • Collaboration across Product, Support Operations, Security, and ML functions.
  • Focus on secure, observable, reliable systems and automation that improves customer and agent productivity.

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