AI Agent Engineer, Revenue Ops (Mexico)

Nutanix, Inc.; Ciudad de México; Hybrid; MXN 900,000 - 1,500,000; Full time

Job summary

Nutanix, Inc. in Mexico City is seeking a hands-on AI Systems Engineer on the Revenue Operations AI team. You will turn sales, partner, and customer-success use cases into working AI prototypes within days, then harden those that prove value into production tools.

You will work with sellers and sales leaders to scope use cases, define success metrics, and ship a working prototype rapidly. You will design agents and reusable skills across platforms and connect data across CRM, CPQ, data

Qualifications

• 5+ years in software engineering, data engineering, solutions engineering, or a similar hands-on technical role.
• 2 years building LLM-powered applications or agents.
• Strong Python and SQL. Comfortable with REST APIs, webhooks, OAuth, JSON, and at least one cloud platform (AWS, Azure, or GCP).
• Hands‑on experience with at least 3 agentic or skill‑building platforms: Salesforce Agentforce, Microsoft Copilot Studio, Google Gemini Enterprise, Anthropic Claude (Skills, MCP, Claude Code), OpenAI (Agents SDK, custom GPTs), or open frameworks such as LangGraph.
• Experience connecting AI systems to enterprise data: CRM, data warehouses (Snowflake, Databricks, or BigQuery), document stores, and third‑party APIs, including retrieval design (chunking, embeddings, vector search).
• Practical understanding of evaluation, prompt and context design, tool calling, and the security issues specific to agents, such as prompt injection and over‑permissioned tools.
• Ability to translate a sales or operations problem into a scoped technical build, and to explain trade‑offs to non‑technical leaders in plain language.
• Excellent verbal and written English communication skills.
• Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent practical experience.

Responsibilities

• Take a revenue use case from a conversation to a working prototype within days, prove its value with real users and data, and then either harden it or retire it.
• Work with our AI Product Manager to engage with our sales org, scope use cases, define the success metric, and ship a working prototype within days.
• Design and build agents and reusable skills on multiple vendor platforms, choosing the right tool per use case.
• Package recurring workflows as reusable skills, prompts, and templates that sellers and other builders can run themselves.
• Connect agents to internal systems of record such as CRM, CPQ, billing and bookings, the data warehouse, product telemetry, support cases, and knowledge bases.
• Integrate external sources such as intent and enrichment providers, firmographic data, earnings filings, and news, and reconcile them with internal account records.

Skills

Python

SQL

REST APIs

OAuth

JSON

English communication

Cloud platforms (AWS/Azure/GCP)

Education

Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent

Tools

Salesforce Agentforce

Microsoft Copilot Studio

Google Gemini Enterprise

Anthropic Claude (Skills, MCP, Claude Code)

OpenAI (Agents SDK, custom GPTs)

LangGraph

Job description

Nutanix, Inc. in Mexico City is seeking a hands-on AI Systems Engineer on the Revenue Operations AI team. You will turn sales, partner, and customer-success use cases into working AI prototypes within days, then harden those that prove value into production tools.

You will work with sellers and sales leaders to scope use cases, define success metrics, and ship a working prototype rapidly. You will design agents and reusable skills across platforms and connect data across CRM, CPQ, data