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Backend AI Engineer (AI)

150Β 000 - 300Β 000$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
onsite
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
middle
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR
Backend AI Engineer (AI/Python): Building scalable backend systems, inference APIs, and observability tooling for an AI site reliability engineer with an accent on real-time incident detection, root cause analysis, and automated remediation. Focus on integrating AI agent architectures, processing logs, metrics, and traces at scale, and optimizing low-latency services across hybrid SaaS and on-prem deployments.

Location: Fully in-office, 5 days a week, based in New York

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

Company

hirify.global builds an AI site reliability engineer for enterprise production environments, helping detect, troubleshoot, remediate, and prevent complex incidents.

What you will do

  • Design and build scalable backend systems supporting AI agents and observability tools.
  • Develop high-performance APIs for backend services and frontend integrations.
  • Build systems for ingesting, storing, retrieving, and processing logs, metrics, and traces at scale.
  • Integrate AI-driven insights, agent architectures, and machine learning algorithms into production systems.
  • Optimize backend services for high data volumes and low-latency performance across SaaS and on-prem deployments.
  • Provide technical leadership and mentorship to junior backend engineers.

Requirements

  • 3+ years of software engineering experience focused on backend development and full-stack systems.
  • Strong experience with Python and web frameworks such as FastAPI.
  • Experience deploying applications on AWS with ECS or Kubernetes.
  • Experience with PostgreSQL and S3 for data storage and object storage.
  • Familiarity with observability and monitoring tools.
  • Ability to lead in a fast-paced startup environment with shifting priorities and minimal structure.

Nice to have

  • Experience with agentic AI systems or the observability domain.
  • Background in large-scale, complex, data-driven applications.
  • Familiarity with AI- or LLM-powered products.
  • Familiarity with Python-based ecosystems.

Culture & Benefits

  • Health insurance and flexible time off.
  • Startup equity and competitive compensation.
  • Technical equipment and in-office amenities.
  • Collaborative, high-impact environment focused on AI-powered software maintenance.
  • Opportunities to own meaningful product areas and learn continuously.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’