AI Platform Engineer

Vaga não está no LinkedIn

🕒 4 dias atrás

🇮🇳 Índia – Remoto

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🏗️ Engenheiro de Plataforma

👻 Score fantasma 10%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Granicus

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 1999

🏛️ Governo

☁️ SaaS

📋 Conformidade

Government • SaaS • Compliance

A Granicus é uma empresa de tecnologia focada no governo que fornece uma Government Experience Cloud e uma gama de serviços digitais para agências locais, estaduais, federais, de educação e de distritos especiais. Seus produtos incluem plataformas de engajamento e comunicação, nuvens de serviço e operações (para licenças, registros, solicitações de serviço/311), gerenciamento de reuniões e agendas, sites/CMS, ferramentas de conformidade e um Agente de Experiência do Governo com tecnologia AI para oferecer autoatendimento 24 horas por dia, 7 dias por semana. A Granicus ajuda organizações do setor público a modernizar a prestação de serviços, aumentar o engajamento dos cidadãos, automatizar fluxos de trabalho e melhorar a eficiência operacional.

Descrição

• Build, test, deploy, and operate AI-powered workflows, agents, and automations within RevOps systems such as Salesforce, Microsoft 365, Azure AI, and Copilot • Implement prompt logic, orchestration flows, tool calling, and context retrieval for LLM-based systems • Translate approved AI solution designs into scalable, maintainable, and secure implementations • Ensure AI solutions are production-ready, observable, resilient, and aligned with business outcomes • Design and maintain LLM evaluation frameworks assessing accuracy, relevance, consistency, and outcome impact • Implement offline evaluations with curated datasets, golden answers, and regression test suites • Implement online evaluations using user feedback loops, telemetry, and behavioral usage signals • Define evaluation thresholds, quality gates, and launch-readiness criteria • Design and implement hallucination-reduction strategies using RAG, context filtering, grounding, citations, guardrails, validation checks, and response constraints • Monitor AI outputs, confidence signals, and failure modes in live environments • Investigate root causes of incorrect or low-confidence outputs and implement corrective improvements • Define and instrument metrics for quality, adoption, latency, reliability, and operational or revenue impact • Build telemetry connecting AI usage to downstream operational and revenue outcomes • Implement context pipelines using structured data, documents, and governed knowledge assets • Enforce data quality, access controls, grounding standards, and versioning • Support documentation, testing, auditability, change management, privacy, security, and responsible AI requirements • Collaborate with RevOps AI Product Managers, AI Solutions Architects, Systems teams, analytics teams, and GTM stakeholders • Support enablement, adoption, reviews, retrospectives, and continuous post-launch improvement

🎯 Requisitos

• 3+ years of experience in AI engineering and implementation • Strong software, data, or automation engineering background with experience operating production systems • Hands-on experience building and operating LLM-based workflows and agents • Demonstrated experience designing and operating LLM evaluation frameworks • Familiarity with offline evaluations using test datasets and regression frameworks • Familiarity with online evaluations using user feedback, telemetry, and behavioral signals • Experience reducing hallucinations in production AI systems using grounding, validation, and guardrails • Strong understanding of retrieval-augmented generation (RAG), prompt design, and context engineering • Familiarity with RevOps systems such as CRM, GTM tooling, and workflow platforms • Strong analytical mindset and ability to debug complex AI system behavior • Clear written and verbal communication skills across technical and non-technical audiences • Experience deploying AI or automation systems into production environments • Experience working with cross-functional product, operations, and systems teams • Experience supporting AI quality, reliability, and evaluation in live systems • Responsible for preserving the confidentiality, integrity, and availability of company information assets • Responsible for ensuring data privacy and completing required privacy training • No degree requirement stated; Granicus notes it does not have degree requirements for most roles

🏖️ Benefícios

• Remote-first company • Employee Resource Groups to encourage diverse voices • Coffee with Mark sessions with the CEO • Microsoft Teams communities focused on wellness, art, furbabies, family, parenting, and more • Special guests discussing issues impacting employees