4 дня назад
Software Engineer, GTM AI - Python
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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 's go-to-market operations.
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