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Salesforce

Builds cloud software for customer relationships

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeParis, FranceNo salary listed

About the Job

Requirements

  • At least 3 years of software engineering or technical delivery experience, including at least one production system the candidate can discuss; experience in an AI technology stack, full-stack development, or 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 proposing changes.
  • Deep understanding of data modeling, APIs, and integration patterns sufficient to design them.
  • Ability to work with sales teams and customer architects.
  • Ability to deliver quality code and evaluate AI outputs with engineering rigor.
  • Active experimentation with evolving AI and data tools and models.

Responsibilities

  • Develop AI 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 agentic AI platform and current large language model techniques.
  • Own technical components end-to-end, from architecture choices through deployment, validation, and observability in production.
  • Build and integrate data pipelines on 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 quickly.
  • Co-build with customers and partners, share best practices, and enable their teams 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 that ship.
  • Travel approximately 25% of the time to work directly alongside customers.

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, 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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