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Salesforce

Builds cloud software for customer relationships

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeDublin, IrelandNo salary listed

About the Job

Requirements

  • Have at least 3 years of software engineering or technical delivery experience and experience with at least one production system, ideally involving an AI technology stack, full-stack development, or frontier models.
  • Have a degree in Computer Science or a related field.
  • Be fluent in English, French, and Arabic.
  • 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 be willing to learn additional languages as needed.
  • Have hands-on experience with large language models and prompt engineering, including the ability to explain prompt failures and improvements.
  • Understand data modeling, APIs, and integration patterns well enough to design them.
  • Be able to engage with sales teams and customer architects.
  • Write quality code and evaluate artificial intelligence outputs with engineering rigor.
  • Stay current with evolving artificial intelligence and data technologies by piloting tools, experimenting with models, and learning about new 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 and operate in production environments.
  • Design agent intelligence, including prompts, reasoning, tool calls, and integrations with customer systems, using the Agentforce 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 that progress from initial concept to deployable solutions in days.
  • Co-build solutions with customers and partners, share best practices and enablement, and leave teams more capable after engagements.
  • Surface 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 are delivered.

Desired Qualifications

  • Salesforce platform experience or certifications, such as 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, and 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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