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1 день назад

AI Engineer - Forward Deployed Engineer

150 000 - 300 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
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 Engineer - Forward Deployed Engineer (AI/LLM): Building and deploying scalable backend systems, AI agents, and observability tools for enterprise production environments with an accent on LLM applications, multi-agent systems, and large-scale troubleshooting workflows. Focus on prototyping reasoning and tool-use strategies, tuning AI performance across petabytes of data, and delivering complex deployments in customer environments.

Location: New York, United States; full-time, in-person role with work in the office 5 days a week

U.S. base salary: $150,000–$300,000 per year, plus equity and benefits.

Company

hirify.global develops an AI Site Reliability Engineer platform that autonomously understands complex production environments to diagnose, fix, and prevent incidents for large enterprises.

What you will do

  • Lead the design and implementation of scalable backend systems supporting AI agents and observability tools.
  • Prototype and evaluate prompting strategies, reasoning workflows, and tool-use policies for agents working with large-scale observability data.
  • Collaborate with AI researchers, product engineers, and infrastructure teams on upgrades to the core platform and product.
  • Provide white-glove deployment support in enterprise environments and tune the platform’s AI agent performance.
  • Build customer relationships, identify new AI deployment opportunities, and lead strategic projects that inform the engineering roadmap.

Requirements

  • 3+ years of software engineering experience focused on backend, data, and/or cloud infrastructure systems.
  • Experience with LLM-based applications and/or multi-agent systems, including model evaluation and experimental iteration to improve accuracy and behavior.
  • Experience deploying and maintaining applications on AWS, including ECS or EKS, Postgres, and S3 for large-scale object storage.
  • Strong familiarity with observability and monitoring tools.
  • Ability to lead in fast-paced startup environments with minimal structure, shifting priorities, and limited resources.
  • Collaborative, impact-driven approach and ability to work across research and engineering teams.

Nice to have

  • Ability to explain complex technical concepts to varied audiences.
  • Project management experience coordinating internal and external stakeholders, leading recurring meetings, and driving pilots to completion.
  • Hands-on experience with infrastructure-as-code tools such as Terraform or deployment systems such as Kubernetes.
  • Familiarity with day-to-day SRE workflows and pain points.

Culture & Benefits

  • Full-time employment in a fully in-office environment near Madison Square Park in New York.
  • Health insurance, flexible time off, technical equipment, equity, and additional benefits.
  • Collaborative, high-impact culture focused on building AI-powered software maintenance.
  • Opportunity to own meaningful product areas, move quickly, and learn continuously.

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