9 hours ago
Belgrade, SerbiaSenior
Responsibilities
- Engage with sales and operations stakeholders to scope AI use cases, define success metrics, and ship working prototypes within days.
- Design and build AI agents, reusable skills, prompts, and templates across multiple vendor platforms.
- Connect agents to CRM, CPQ, billing and bookings, data warehouses, product telemetry, support cases, knowledge bases, and external data sources.
- Use MCP servers, APIs, and connectors to provide governed, permission-aware access to revenue data.
- Reconcile external intent, enrichment, firmographic, earnings, and news data with internal account records.
- Evaluate prototypes with real users and data, then harden successful solutions into production tools or retire them.
- Explain technical trade-offs to non-technical leaders and collaborate with the AI Product Manager and Revenue Operations teams.
Requirements
- 5+ years of experience in software engineering, data engineering, solutions engineering, or a similar hands-on technical role.
- 2+ years building LLM-powered applications or agents.
- Shipped at least five AI agents or LLM workflows used by real business users on real data.
- Strong Python and SQL skills.
- Experience with webhooks, OAuth, JSON, APIs, and at least one of AWS, Azure, or GCP.
- Hands-on experience with at least three agentic or skill-building platforms, including options such as Salesforce Agentforce, Microsoft Copilot Studio, Google Gemini Enterprise, Anthropic Claude, OpenAI, or LangGraph.
- Experience connecting AI systems to enterprise data, including CRM, data warehouses, document stores, and third-party APIs, with retrieval design using chunking, embeddings, and vector search.
- Understanding of evaluation, prompt and context design, tool calling, and agent-specific security issues such as prompt injection and over-permissioned tools.
- Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent practical experience.
- Preferred: Revenue Operations, Sales Operations, or GTM Systems experience; Salesforce data model and CPQ knowledge; MCP server operation; integration and automation platform experience; conversation intelligence, enrichment, and enterprise search experience; lightweight front-end or Slack/Teams app development; and familiarity with hybrid cloud and infrastructure concepts.
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About Nutanix
Nutanix is a global leader in cloud software, offering organizations a single platform for running apps and data across clouds. With Nutanix, companies can reduce complexity and simplify operations, freeing them to focus on their business outcomes. Building on its legacy as the pioneer of hyperconverged infrastructure, Nutanix is trusted by companies worldwide to power hybrid multicloud environments consistently, simply, and cost-effectively. Learn more at www.nutanix.com or follow us on social media @nutanix.