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21 час назад

AI Automation & Tooling 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

AI Automation & Tooling Engineer (AI): Building and optimizing a service layer for AI agents to conduct autonomous audits and generate intelligence-driven security policies. Focus on developing sophisticated AI agents, writing high-performance SQL for massive BigQuery datasets, and mastering LLM orchestration via API to diagnose complex data security issues.

Location: Onsite in Bangalore, India

Company

hirify.global is a well-funded startup backed by $250M, leveraging AI-enabled data lineage to revolutionize data security by analyzing billions of workflows to detect risk and stop threats.

What you will do

  • Develop backend services to enable AI agents to perform complex, multi-step data security tasks traditionally handled by consultants.
  • Implement AI agents that leverage product data to build tools and recommendations.
  • Write high-performance SQL and data-extraction logic in BigQuery to feed agents rich, structured context from massive lineage datasets.
  • Design and consume robust RESTful APIs that connect the core platform to LLM providers and customer workflows.
  • Create the logic for "Reasoning Loops" where agents can query BigQuery, interpret security logs, and output human-readable diagnoses of complex data security issues.

Requirements

  • Advanced Python/Go: Deep experience in building services and agentic workflows (handling state, long-term memory, tool-use).
  • Complex SQL: Ability to join and analyze high-cardinality datasets, optimizing queries that touch billions of rows in BigQuery.
  • Data Modeling: Experience structuring data specifically for LLM consumption (e.g., creating efficient RAG embeddings or JSON-based context windows).
  • API & System Integration: Experience using RESTful APIs to build agentic services and integrating security tools (SIEM/SOAR).
  • LLM Orchestration: Mastery of leveraging LLMs via API, including advanced prompt engineering, structured output, and managing token/latency trade-offs.

Culture & Benefits

  • Opportunity to revolutionize data security by reimagining protection with AI-enabled data lineage.
  • Work alongside leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, and Google.
  • Be part of a team backed by $250M from leading investors like Khosla and Redpoint.
  • Committed to creating a diverse environment and is an equal opportunity employer.

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