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Salesforce

Builds cloud software for customer relationships

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSão Paulo, State of São Paulo, BrazilNo salary listed

About the Job

Requirements

  • Have 3 or more years of software engineering or technical delivery experience, including at least one production system to discuss; experience in an artificial intelligence technology stack, full-stack development, or working with frontier models is ideal.
  • Hold a degree in Computer Science or a related field.
  • Have prior customer-facing technical delivery experience in consulting, professional services, or forward deployed engineering.
  • Be fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex, and willing to learn additional languages as needed.
  • Have hands-on experience with large language models and prompt engineering, including the ability to diagnose prompt failures and propose changes.
  • Understand data modeling, application programming interfaces, and integration patterns well enough to design them.
  • Be able to work with sales teams and customer architects.
  • Write quality code and evaluate artificial intelligence outputs with engineering rigor.
  • Experiment with emerging artificial intelligence and data tools and models, and stay current with developments.
  • Be willing to travel approximately 25% of the time and work directly alongside customers.

Responsibilities

  • Develop artificial intelligence agents and experiences that take actions for organizations, delivering solutions used in production.
  • Design agent intelligence, including prompts, reasoning, tool calls, and integration with customer systems, using the Agentforce platform and current large language model techniques.
  • Own technical components end-to-end, from architecture choices through deployment, validation, and production observability.
  • Build and integrate data pipelines using Salesforce Data 360, Snowflake, Databricks, and customer data platforms; model data, deliver pipelines, and validate outputs.
  • Build and maintain agent performance dashboards and customer key performance indicator reporting to track deployment health and business outcomes.
  • Contribute to proofs of concept and minimum viable products, taking them from initial concept to deployable solutions rapidly.
  • Co-build solutions with customers and partners and share best practices and enablement during engagements.
  • Surface platform gaps, edge cases, and field insights to senior engineers and the product team.
  • Partner with a Deployment Strategist to translate customer business challenges into agentic solutions.

Desired Qualifications

  • Salesforce platform experience or certifications, including Administrator, Platform Developer I, or Agentforce Specialist.
  • Familiarity with agent frameworks such as LangChain and LlamaIndex, and with orchestration patterns.
  • Hands-on experience with cloud data platforms such as Snowflake, Databricks, or BigQuery.
  • Experience in specialist artificial intelligence delivery areas such as data engineering, platform architecture, or headless deployments.

About the Company

Salesforce

Builds cloud software for customer relationships

Salesforce sells cloud software that helps businesses manage sales leads, customer service, marketing, and online commerce from shared customer records. Its flagship Sales Cloud tracks accounts and deals, while Service Cloud organizes support cases and Agentforce builds AI assistants that act on company data. Teams access these tools through a browser and connect outside apps and data sources, with Slack for work messages and Tableau for visual analysis. Salesforce earns most of its revenue from software subscriptions and support, with professional services for implementation and training. Marc Benioff co-founded Salesforce in 1999, and its headquarters are in San Francisco, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
1999

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