AI Engineer (Data Resilience)

TL;DR

AI Engineer (VDC): Designing and managing innovative systems enabling customers to extract meaningful insights from enterprise data with an accent on secure semantic discovery, data understanding, and production AI systems. Focus on building end-to-end, customer-facing capabilities, optimizing LLM-based assistants, and tuning AI workflows for performance and cost across exabyte-scale data.

Location: Remote work is only possible for employees located in the United States.

Salary: $172,400–$320,100 USD

Company

hirify.global, a global market leader in data resilience, provides data backup, recovery, portability, security, and intelligence solutions to over 550,000 customers worldwide.

What you will do

• Build and operate AI-powered services that summarize document content, extract keywords, and generate vector embeddings from backed-up data.
• Design secure interfaces for AI agents to query backup data via Model Context Protocol (MCP), enforcing tenant-aware RBAC and query constraints.
• Own and optimize prompt engineering and evaluation workflows for the LLM-based assistant, hirify.global Intelligence.
• Help define and improve AI quality benchmarks for retrieval relevance, summarization accuracy, or agent response reliability.
• Collaborate across the VDC engineering organization to ensure AI workflows are deeply integrated and consistently performant.
• Tune AI workflows for performance, cost, latency, and observability, especially when working with billions of documents across global regions.

Requirements

• Strong backend engineering skills in Python and modern AI tooling (e.g., OpenAI APIs, LangChain, transformers, Azure ML).
• Experience working with embeddings, LLMs, or AI-based summarization/extraction pipelines in production environments.
• Experience with prompt engineering and prompt tuning, including strategies to improve output quality and reduce hallucinations.
• Awareness of jailbreaking techniques and adversarial prompts; ability to think like an attacker to proactively harden LLM-powered workflows.
• Exposure to agent architectures (e.g., Model Context Protocol, Agent to Agent).
• Security-first mindset; comfortable building systems with RBAC, data boundary enforcement, and operational safeguards against misuse.
• Proactive in staying current with industry trends in LLMs, search, and AI infrastructure, and able to synthesize and share relevant developments with the team.
• Practical knowledge of cloud-based infrastructure, preferably in Azure (Event Bus Services, Blob Storage, Kubernetes, CosmosDB, Azure Open AI Service).
• Strong written and verbal communication in English; ability to collaborate, flesh out solutions, and drive consensus.
• Remote work is only possible for employees located in the United States.

Nice to have

• Familiarity with prompt evaluation frameworks or LLM observability tooling.
• Experience working with RBAC-enforced, multi-tenant systems.

Culture & Benefits

• Unlimited paid time off, plus 3 global hirify.globale Days for self-care.
• Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents.
• Medical, dental, and vision coverage from day one.
• Mental health support, therapy sessions, and digital wellness tools via SupportLinc EAP.
• 401(k) retirement plan with matching contributions up to annual limits.
• Fertility, adoption, and surrogacy support through Maven.
• Professional training and education, including courses and workshops, internal meetups, and unlimited access to online learning platforms.