AI Platform Engineer
Granicus (company site, opens in a new tab)3+ yrsOn-siteDirect career pageEst. 12–22 LPA
Posted on 17 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, deploy, and operate AI-powered workflows, agents, and automations integrated within core revenue operations systems such as Salesforce, Microsoft 365, and Azure AI.
- Develop and maintain LLM evaluation frameworks, measurement metrics, and telemetry that connect AI system usage to operational and revenue outcomes.
- Implement hallucination-reduction techniques and ensure AI systems are production-ready, reliable, secure, and aligned with measurable business impact.
Minimum Requirements
- Minimum 3 years of experience in AI engineering or related fields involving deployment of AI or automation systems in production.
- Strong hands-on experience with LLM-based systems including prompt engineering, retrieval-augmented generation (RAG), and orchestration.
- Experience with RevOps systems (e.g., CRM, GTM tools) and building production AI workflows.
- Work Experience Required: Minimum 3 years as explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in operating production-grade AI/automation systems focused on reliability, evaluation, and measurable business outcomes rather than experimentation.
- Comfortable translating complex AI product requirements into scalable, maintainable, and governed implementations in cross-functional environments.
- Strong analytical and debugging skills related to AI system behavior with the ability to communicate insights to technical and non-technical stakeholders.