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Salesforce

Builds cloud software for customer relationships

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSantiago, Santiago Metropolitan Region, ChileNo salary listed

About the Job

Requirements

  • At least 3 years of software engineering or technical delivery experience, including a production system to present; experience in an AI technology stack, full-stack development, or working with frontier models is ideal.
  • A degree in Computer Science or a related field.
  • Prior customer-facing technical delivery experience in consulting, professional services, or forward deployed engineering.
  • Fluency in at least one of Python, JavaScript/TypeScript, Java, or Apex, and willingness to learn additional languages as needed.
  • Hands-on experience with large language models and prompt engineering, including diagnosing prompt failures and identifying changes.
  • Deep understanding of data modeling, application programming interfaces, and integration patterns sufficient to design them.
  • Ability to work effectively with sales teams and customer architects.
  • Ability to deliver quality code and evaluate AI outputs with engineering rigor.
  • Active experimentation with AI and data tools and models, and ongoing awareness of emerging developments.
  • Willingness to travel approximately 25% of the time and work directly alongside customers.

Responsibilities

  • Develop AI agents and experiences that take actions for organizations and operate in production.
  • Design agent intelligence, including prompts, reasoning, tool calls, and integration with customer systems, using the Agentic AI platform and current large language model techniques.
  • Own technical components end-to-end, from architecture selection 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, advancing them from initial concepts to deployable solutions quickly.
  • Co-build solutions with customers and partners, share best practices and enablement, and help customer teams become more capable through each engagement.
  • Communicate platform gaps, edge cases, and field insights to senior engineers and the product team.
  • Partner with the Deployment Strategist to translate customer business challenges into agentic solutions that can be deployed.

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 orchestration patterns.
  • Hands-on experience with cloud data platforms such as Snowflake, Databricks, or BigQuery.
  • Experience in specialist AI 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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