AI Engineer

Monster Energy; Riverside (CA); On-site; USD 105,000 - 140,000; Full time

Job summary

Monster Energy in Riverside, CA seeks an AI Engineer to build production AI agents and MCP-enabled integrations for its AI platform. You will develop and ship agents in Python and TypeScript, leveraging OpenAI/Azure OpenAI, Claude, and related tools to meet security and governance standards.

Responsibilities include building MCP servers, connecting to Salesforce, SAP, Workday, SharePoint, and Microsoft Fabric, and publishing reusable MCP tools and templates.

Qualifications

• 3–5 years of software engineering experience in production apps or integrations (Python/TypeScript).
• 1–3 years building generative AI apps or agents in production (LLM APIs, tool calling, RAG, MCP).
• Strong programming in Python/TypeScript/JavaScript; SQL; C# is a plus.

Responsibilities

• Build, test, and ship agents and automated workflows in Python and TypeScript using OpenAI/Azure OpenAI, Claude models, Microsoft Foundry, and Copilot Studio.
• Develop and maintain MCP servers and tools to connect agents to Salesforce, SAP, Workday, SharePoint, and Microsoft Fabric.
• Publish MCP tools to the shared tool registry with schemas, versioning, and documentation.
• Create automated tests and evaluation suites covering accuracy, groundedness, safety, and tool-call correctness.
• Run evaluation and testing in CI/CD pipelines with releases gated on quality.

Skills

Software engineering

Python

TypeScript

CI/CD

Education

Bachelor’s degree in CS or related

MS preferred

Tools

Python

TypeScript

OpenAI / Azure OpenAI

Claude models

Microsoft Foundry

Copilot Studio

MCP

Salesforce

SAP

Workday

SharePoint

Microsoft Fabric

REST

GraphQL

webhooks

Power Automate

Power Platform

Salesforce Flow

MuleSoft

Application Insights

Log Analytics

LangChain

Semantic Kernel

SQL

OneLake

Azure AI Search

Power BI

Git

CI/CD tooling

Kubernetes

Docker

Cursor

Claude Code

GitHub Copilot

Job description

AI Engineer role building production AI agents and MCP-enabled integrations for Monster Energy’s AI platform.

Responsibilities

• Build, test, and ship agents and automated workflows in Python and TypeScript using OpenAI / Azure OpenAI and Claude models, plus Microsoft Foundry and Copilot Studio, aligned to AI Architect reference patterns and security standards.


• Develop and maintain MCP servers and tools to connect agents to Salesforce, SAP, Workday, SharePoint, and Microsoft Fabric data.


• Publish MCP tools to the shared tool registry with schemas, versioning, and documentation.


• Create automated tests and evaluation suites covering accuracy, groundedness, safety, and tool-call correctness.


• Run evaluation and testing in CI/CD pipelines so releases are gated on quality.


• Develop REST, GraphQL, webhook, and event-based integrations and orchestration with Power Automate, Salesforce Flow, Workato, or MuleSoft, including proper error handling and retries.


• Instrument agents with logging, tracing, and telemetry (for example, Application Insights / Log Analytics); monitor reliability, latency, and token cost and troubleshoot production issues.


• Enforce least-privilege access, secrets management, and prompt-injection defenses, following Responsible AI (RAI), privacy, and security standards; document data use, risks, and mitigations.


• Package proven capabilities into reusable agent templates, prompt libraries, connectors, and MCP tools for team and business-unit reuse.


• Partner with the Sr. AI Solution Engineer on business requirements and the AI Data Engineer on data needs; write runbooks and technical documentation.


• Use AI coding agents (for example, Cursor, Claude Code) daily to accelerate delivery.

Requirements

• 3-5 years of software engineering experience, including building production applications or integrations in Python or TypeScript.


• 1-3 years building generative AI applications or agents in production (LLM APIs, tool calling, RAG, MCP).


• Strong programming skills: Python and TypeScript/JavaScript; SQL; C# is a plus.


• Model and API experience with OpenAI GPT-5.6 / GPT-6 and Anthropic Claude Sonnet 5.5 / Haiku 5.5, including tool calling and structured outputs.


• Experience with retrieval-augmented generation (RAG) and Model Context Protocol (MCP).


• Experience with Microsoft Foundry / Azure OpenAI and Copilot Studio.


• Framework experience: LangChain or Semantic Kernel.


• Integration experience with REST, GraphQL, webhooks, and event systems; plus Power Automate / Power Platform, Salesforce Flow, Workato, or MuleSoft.


• Data experience with Microsoft Fabric / OneLake, Azure AI Search, and SQL; Power BI basics.


• DevOps experience: Git, CI/CD (Azure DevOps or GitHub Actions), automated testing and evaluation frameworks, and containers.


• Observability experience with Application Insights / Log Analytics (or equivalent).


• AI-assisted development: Cursor, Claude Code, or GitHub Copilot used daily.


• Preferred certifications: Microsoft AI-103 (Developing AI Apps and Agents on Azure) and Microsoft Power Platform Developer Associate (desirable).


• Additional desirable certification: Databricks Certified Generative AI Engineer Associate.


• Responsible AI/governance training aligned to internal standards.


• Preferred education: Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or related; MS preferred.

Location and Compensation

• Location: Riverside, CA (onsite)


• Salary: USD 105,000 - 140,000 per year


• Experience: Minimum 3 years

Technologies

• Python, TypeScript, JavaScript


• OpenAI, Azure OpenAI, Claude models


• Microsoft Foundry, Copilot Studio


• Model Context Protocol (MCP), MCP servers


• Salesforce, SAP, Workday, SharePoint


• Microsoft Fabric, REST, GraphQL, webhook


• Power Automate, Salesforce Flow, Workato, MuleSoft


• Application Insights, Log Analytics


• Least-privilege access, secrets management, prompt-injection defenses


• Cursor, Claude Code, Git, CI/CD (Azure DevOps or GitHub Actions), containers


• LangChain, Semantic Kernel


• SQL, OneLake, Azure AI Search, Power BI


• GitHub Copilot