AI Platform Engineer

🔥 21 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Granicus

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1999

🏛️ Government

☁️ SaaS

📋 Compliance

Government • SaaS • Compliance

Granicus is a company focused on transforming the way governments interact with their constituents through digital services and technology solutions. It provides the Government Experience Cloud to improve service delivery, community engagement, and operational efficiency across local, state, and federal governments. Granicus offers tools for agenda and meeting management, digital communication and engagement, public records management, and more, all designed to enhance customer experience and foster transparent and equitable interactions between governments and the people they serve.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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