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4 дня назад

Software Engineer, GTM AI - Python

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US/Canada/Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer, GTM AI - Python (AI/Backend): Building multi-agent AI systems and backend services that automate go-to-market workflows such as lead qualification, email generation, meeting routing, enrichment, and outbound campaigns with an accent on model-agnostic architecture, reliable integrations, and production observability. Focus on designing stateful agent systems, managing model constraints and failures, and operating scalable Python services on Kubernetes.

Location: United States, Brazil, or Canada

Company

hirify.global builds global connectivity infrastructure, private multi-cloud networks, edge technologies, and API-based communication solutions.

What you will do

  • Design and build multi-agent AI systems in Python for lead qualification, email generation, meeting routing, contact enrichment, and outbound campaign orchestration.
  • Create model-agnostic abstraction layers supporting Claude, GPT, and open-source models.
  • Build and operate FastAPI or Flask backend services deployed on Kubernetes with CI/CD.
  • Design agent tool-use patterns, structured function calling, multi-step reasoning, state management, and model-failure handling.
  • Integrate CRM, enrichment, outreach, and Slack systems with authentication, retries, rate limiting, and data contracts.
  • Instrument production AI systems, monitor agent behavior, investigate failures, and run experiments such as A/B tests and model comparisons.

Requirements

  • At least 2 years of software engineering experience building backend services in Python.
  • Production experience building stateful, multi-step AI agent systems where models make decisions and call tools across multiple turns.
  • Strong understanding of context windows, token budgets, model trade-offs, structured outputs, hallucination mitigation, and refusal handling.
  • Experience testing and evaluating non-deterministic AI systems.
  • Strong software architecture fundamentals, including API design, state management, fault tolerance, and graceful degradation.
  • Production experience with Docker, Kubernetes, CI/CD, external API integrations, SQL, observability, logging, tracing, alerting, and monitoring.

Nice to have

  • Experience with Salesforce, Apollo, Lusha, enrichment providers, or similar GTM and RevOps platforms.
  • Background in growth engineering, marketing automation, or revenue operations tooling.
  • Experience developing Slack bots or conversational AI interfaces.
  • Contributions to or experience with open-source AI agent frameworks.
  • Familiarity with ArgoCD, StatefulSets, or advanced Kubernetes operations.

Culture & Benefits

  • High-ownership, hands-on engineering role with responsibility from prototype through production.
  • Collaboration with Engineering Leads and Technical Product Managers to turn business problems into maintainable software.
  • Opportunity to work on AI-native systems supporting hirify.global's go-to-market operations.

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