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4 дня назад

Technical Lead (AI)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
lead
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US, Germany
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

Technical Lead (AI): Leading the implementation of scalable backend services and AI-native applications with an accent on solving complex architectural puzzles. Focus on designing and building complex conversational states, multi-agent communication protocols, and the infrastructure that supports them.

Location: Berlin

Company

hirify.global inspires people to achieve great things together with the first AI-native Employee Experience Platform.

What you will do

  • Lead the implementation of scalable backend services and AI-native applications.
  • Act as the technical special forces across 2-3 high-priority teams, solving the most complex architectural puzzles.
  • Partner with PMs and ML engineers to turn experimental AI ideas into high-availability, production-grade services.
  • Take ownership of the end-to-end pipeline from data retrieval (RAG) and ingestion to monitoring token usage, cost, and latency.
  • Design and build complex conversational states, multi-agent communication protocols, and the infrastructure that supports them.
  • Champion engineering excellence and influence the org’s technical direction.

Requirements

  • 10+ years of Experience: A proven track record in backend software development, including previous experience in a Tech Lead or Staff Engineer capacity
  • Expert-level proficiency in GoLang in microservice architecture
  • Hands-on experience building, deploying, and scaling AI-native applications in a production environment (not just local experiments)
  • Deep knowledge of cloud platforms (Azure preferred) and container orchestration (Docker, Kubernetes)
  • Strong understanding of event-driven architectures and high-concurrency systems

Nice to have

  • Experience with LLM observability and evaluation frameworks (e.g., Langfuse, Arize Phoenix, or custom Golden Dataset evals)
  • Proven ability to optimize RAG pipelines for both latency and cost (e.g., semantic caching, prompt engineering, or model distillation)
  • Familiarity with building multi-agent workflows (e.g., using LangGraph, CrewAI, or similar)
  • Experience building internal SDKs or libraries that help other engineering teams adopt AI features faster

Culture & Benefits

  • Flexible working time models and the option of hybrid work
  • Yearly flex work allowance of €1560
  • 31 vacation days annually, plus pro rata fully paid Fridays off during August
  • Monthly Wellbeing Allowance €35, from fitness to mental health, hobbies to relaxation
  • Company pension scheme
  • One day off per year for supporting a social project

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†’

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