Назад
Company hidden
3 дня назад

Lead Data & AI Engineer

Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Lead Data & AI Engineer (GenAI/Data Platforms): Designing and scaling enterprise AI/GenAI applications, RAG solutions, intelligent agents, and workflow automation on governed data platforms with an accent on data lakes, lakehouses, APIs, and production-ready architectures. Focus on building reusable AI frameworks, integrating enterprise systems, and implementing evaluation, observability, security, and performance capabilities.

Location: Pune, India

Company

hirify.global supports enterprise AI initiatives within its CIO organization.

What you will do

  • Define and execute an enterprise AI strategy across applications, data platforms, and workflows.
  • Design, develop, and deploy AI/GenAI applications, RAG solutions, intelligent agents, and workflow automation.
  • Build scalable AI capabilities on structured, unstructured, and real-time enterprise data using data lake, lakehouse, and cloud data platforms.
  • Architect backend services, APIs, integrations, and orchestration frameworks using LLMs, model APIs, and enterprise systems.
  • Define AI governance, evaluation, observability, security, reliability, and performance frameworks.
  • Collaborate with business and enterprise application teams to prototype and productionize high-impact AI use cases.

Requirements

  • 7–12+ years of experience in software engineering, AI/ML, or GenAI application development.
  • Experience implementing AI/ML or GenAI solutions on platforms such as Snowflake, Databricks, OCI, data lakes, or lakehouses.
  • Strong understanding of enterprise data architecture, data pipelines, semantic layers, governance, and AI-ready data foundations.
  • Strong expertise in Python, backend development, APIs, system integration, and workflow orchestration.
  • Hands-on experience with RAG, LLMs, prompt engineering, tool and agent calling, AI evaluation, and observability.
  • BE/B.Tech/MCA, preferably in computer science, information technology, or a related field.

Nice to have

  • Experience with vector databases, embeddings, semantic search, and advanced RAG architectures.
  • Knowledge of SQL, data engineering, and data pipelines.
  • Experience with data quality, lineage, security, compliance, intelligent agents, automation platforms, or AI governance frameworks.
  • Experience building reusable AI frameworks, accelerators, or enterprise AI platforms.

Culture & Benefits

  • Innovation and teamwork are emphasized.
  • Internal career growth is supported.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →