Salesforce

3 weeks ago

Forwarded Deployed Engineer - Portuguese Speaker

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Own end-to-end build and deployment of agentic AI solutions for Salesforce’s strategic enterprise customers, from architecture decisions through production handoff. Partner with a Deployment Strategist to translate business challenges into shippable agent systems on the Agentforce platform, including orchestration, guardrails, and integration patterns. Lead senior technical delivery, resolve hard blockers, mentor other engineers, and surface field learnings that shape the Agentforce roadmap.

Location: Lisbon

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Own end-to-end build and deployment of agentic AI solutions for strategic customers from architecture decisions through production handoff.
•Design and ship agentic systems on the Agentforce platform, including agent logic, tool calls, multi-agent orchestration, guardrails, and enterprise integration patterns.
•Own the data lifecycle for AI applications, including model design, processing pipelines, and data readiness across Salesforce Data 360, Snowflake, and Databricks.
•Resolve technical blockers across data integration, model deployment, orchestration, and performance regressions.
•Mentor other engineers through code reviews and pair sessions, and codify reusable patterns and playbooks from customer work.

Travel: Medium travel

Key Requirements

•6+ years of software engineering or technical delivery experience with end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
•Degree in Computer Science or a related field.
•Expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
•Integrated LLMs into production using frameworks like LangChain or LlamaIndex, applying prompt engineering and responsible AI practices.
•Deep experience in data modeling, processing, and analytics across platforms like Salesforce Data 360, Snowflake, or Databricks.

Experience:6+ yearsEnterprise AICloudSaaSLLMData platformsSalesforce ecosystem

Education:

Skills:MentorshipTechnical communicationProblem-solvingEngineering judgmentGet-things-done mindset

Certifications:Salesforce certificationsAdministratorPlatform Developer I/IIAgentforce SpecialistSystem Architect

Languages:HebrewEnglish

Tech Stack:PythonJavaScript/TypeScriptJavaApexLLMsLangChainLlamaIndexPrompt engineeringSalesforce Data 360SnowflakeDatabricksAgentforceAgentforce platformMulti-agent orchestrationTool callsDeterministic guardrailsSalesforce APIsLWCFlowsCursor

Company Brief

Salesforce

Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Salesforce

3 weeks ago

Forwarded Deployed Engineer - Portuguese Speaker

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Location: Lisbon

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Own end-to-end build and deployment of agentic AI solutions for strategic customers from architecture decisions through production handoff.
•Design and ship agentic systems on the Agentforce platform, including agent logic, tool calls, multi-agent orchestration, guardrails, and enterprise integration patterns.
•Own the data lifecycle for AI applications, including model design, processing pipelines, and data readiness across Salesforce Data 360, Snowflake, and Databricks.
•Resolve technical blockers across data integration, model deployment, orchestration, and performance regressions.
•Mentor other engineers through code reviews and pair sessions, and codify reusable patterns and playbooks from customer work.

Travel: Medium travel

Key Requirements

•6+ years of software engineering or technical delivery experience with end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
•Degree in Computer Science or a related field.
•Expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
•Integrated LLMs into production using frameworks like LangChain or LlamaIndex, applying prompt engineering and responsible AI practices.
•Deep experience in data modeling, processing, and analytics across platforms like Salesforce Data 360, Snowflake, or Databricks.

Experience:6+ yearsEnterprise AICloudSaaSLLMData platformsSalesforce ecosystem

Education:

Skills:MentorshipTechnical communicationProblem-solvingEngineering judgmentGet-things-done mindset

Certifications:Salesforce certificationsAdministratorPlatform Developer I/IIAgentforce SpecialistSystem Architect

Languages:HebrewEnglish

Company Brief

Salesforce

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor