Software Engineering MTS - Full-Stack/Agentic AI Engineer

Salesforce
San Francisco, Bellevue
Workplace: OnsiteFull timeUSD 117,200 - 176,700 annuallyFunction: Data Science & Machine LearningSkills: ["Communication","Problem-solving","Execution","Learning"]

Build and ship scalable full-stack applications for the Agentforce AI platform, owning backend APIs, data modeling, and polished React/TypeScript UI experiences. Develop and iterate on AI agent tooling using modern agentic frameworks and LLM-backed workflows, including multi-agent systems, tool/function calling, and RAG patterns. Use AI-first engineering practices to deliver secure, optimized, production-grade software and orchestrate AI agents in human workflows.

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FursaFursa
Salesforce
Salesforce
16 hours ago

Software Engineering MTS - Full-Stack/Agentic AI Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build and ship scalable full-stack applications for the Agentforce AI platform, owning backend APIs, data modeling, and polished React/TypeScript UI experiences. Develop and iterate on AI agent tooling using modern agentic frameworks and LLM-backed workflows, including multi-agent systems, tool/function calling, and RAG patterns. Use AI-first engineering practices to deliver secure, optimized, production-grade software and orchestrate AI agents in human workflows.
Location: San Francisco, Bellevue
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Architect, design, and ship scalable full-stack applications on the Agentforce platform, owning backend API and data modeling through UI experiences.
  • •Build and iterate on AI agent tooling using agentic frameworks and LLM-backed workflows, contributing to platform-level multi-agent systems.
  • •Develop production-grade software using modern engineering practices, using AI tools to improve speed and code quality.
  • •Design and orchestrate complex systems where AI agents integrate into human workflows to drive efficiency and innovation.
  • •Ship secure, optimized, high-quality software in collaboration with ML engineers, UX experts, and product managers.

Pay and Benefits

Salary: USD 117,200 - 176,700 annually
Perks:MedicalDentalVisionHealth InsurancePaid ParentalLife InsuranceDisability Insurance401kEquity

Key Requirements

  • •Deep knowledge of OOP with experience in Java or Python and full-stack ownership across UI and backend services.
  • •Comfort owning UI (React/TypeScript), APIs, and backend services within the same product.
  • •Hands-on experience building on agentic platforms (e.g., Agentforce, LangChain, AutoGen, CrewAI) including prompt engineering and RAG patterns.
  • •Experience with tool/function calling for generative AI applications.
  • •A related technical degree required.
Experience:Agentic AILLM workflowsFull-stack developmentMulti-agent systems
Skills:CommunicationProblem-solvingExecutionLearning
Tech Stack:JavaPythonReactTypeScriptOOPREST APIsAgentic frameworksAgentforceLangChainAutoGenCrewAIPrompt engineeringRAGTool/function callingLLM orchestrationGitHub CopilotCursorClaude CodeAgileTDD

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
Glassdoor: 4.1
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