Назад
Company hidden
23 часа Π½Π°Π·Π°Π΄

Senior Backend Engineer (AI Agents)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
remote (Ρ‚ΠΎΠ»ΡŒΠΊΠΎ USA)
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
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

ВСкст:
/

TL;DR

Senior Backend Engineer (AI Agents): Building and optimizing scalable backend systems to power next-generation AI Agents for enterprise contact centers with an accent on agent orchestration, memory management, and low-latency inference pipelines. Focus on designing event-driven architectures, implementing high-throughput API layers, and productionizing AI model behaviors at scale.

Location: Remote (United States)

Company

hirify.global is an AI-native platform that transforms enterprise contact centers into engines of customer intelligence and operational efficiency.

What you will do

  • Design and build scalable backend systems and orchestration frameworks for real-time AI Agents.
  • Architect systems for agent memory, context management, and state persistence across interactions.
  • Implement low-latency inference pipelines integrating LLMs, SLMs, and external tools.
  • Develop evaluation (evals) frameworks and continuous improvement loops for production AI agents.
  • Optimize event-driven, asynchronous workflows and robust API layers using REST and gRPC.
  • Collaborate with Applied AI/ML teams to productionize models and translate customer workflows into agentic systems.

Requirements

  • 5+ years of experience in backend engineering, distributed systems, or platform engineering.
  • Proven track record of building high-scale, production-grade backend systems.
  • Strong expertise in real-time processing, streaming, or event-driven architectures.
  • Proficiency in API design (REST, gRPC) and microservices architectures.
  • Experience with SQL/NoSQL databases and data modeling for high-scale systems.
  • Hands-on experience with Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).

Nice to have

  • Experience with LLMs, conversational AI, or RAG pipelines in production.
  • Familiarity with agent frameworks, tool calling, and multi-step reasoning systems.
  • Experience building vector databases or AI evaluation systems.
  • Knowledge of prompting strategies and model behavior optimization.

Culture & Benefits

  • Competitive compensation with performance-based upside.
  • Flexible vacation policy and health insurance coverage.
  • Opportunity to work with a globally distributed, high-impact team.
  • Regular team offsites and in-person collaboration.

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†’