Principal Software Engineer / Data Scientist, AI

Salesforce
San Francisco
Workplace: HybridFull timeUSD 97,300 - 313,700 annuallyFunction: Software EngineeringExperience: 10+ yearsSkills: ["Communication","Written communication","Verbal communication","Cross-team influence","Judgment","Root-cause analysis"]

Own the design and hands-on implementation of an agentic AI foundation for database engineering and operations, including full-stack workflow automation, knowledge graphs, and unified agent evaluation. Build agentic memory and closed-loop evaluation infrastructure (tracing, replay, golden-trace regression, PR gating). Advance agents to production across platform, identity, and integration layers with guardrails, telemetry, and high-accuracy root-cause analysis at machine speed.

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FursaFursa
Salesforce
Salesforce
4 days ago

Principal Software Engineer / Data Scientist, AI

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Own the design and hands-on implementation of an agentic AI foundation for database engineering and operations, including full-stack workflow automation, knowledge graphs, and unified agent evaluation. Build agentic memory and closed-loop evaluation infrastructure (tracing, replay, golden-trace regression, PR gating). Advance agents to production across platform, identity, and integration layers with guardrails, telemetry, and high-accuracy root-cause analysis at machine speed.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Own the end-to-end design and implementation of the agentic AI foundation for database engineering and operations.
  • •Build agentic memory (knowledge/context graphs) that stays accurate as the database evolves.
  • •Create closed-loop evaluation infrastructure with tracing, replay, golden-trace regression, PR gating, and rubric-based scoring of correctness and execution paths.
  • •Advance agent execution from workflow-shaped to agent-shaped using causal planning and specialized tools needed for database workflows.
  • •Implement guardrails and telemetry (context-drift detection, activation instrumentation, failure-mode analysis) and partner with database teams to standardize reusable paved paths and quality gating.

Pay and Benefits

Salary: USD 97,300 - 313,700 annually
Perks:Health InsuranceDentalVisionPaid Parental401kEquityLife InsuranceDisability InsuranceTime Off

Key Requirements

  • •Hands-on experience building and shipping full-stack, full-lifecycle agentic AI systems in production, including LLM orchestration, tool/MCP integration, retrieval, knowledge grounding, and evaluation.
  • •Strong programming in Python and Java in a Unix/Linux environment, with solid understanding of distributed systems.
  • •Judgment for reliable agents at scale using grounding, evaluation, and guardrails to prevent failure modes like hallucination, context drift, and incorrect remediation.
  • •Familiarity with the modern data and agent stack, including tracing/experiment tracking (e.g., MLflow), workflow orchestration (e.g., Airflow), distributed query engines (e.g., Trino), knowledge graphs, and model-agnostic gateways.
  • •10+ years of professional experience; experience with large-scale distributed databases or multi-tenant SaaS architectures is a plus.
Experience:10+ yearsAgentic AIMulti-tenant SaaSDistributed systemsData scienceLLM orchestration
Skills:CommunicationWritten communicationVerbal communicationCross-team influenceJudgmentRoot-cause analysis
Tech Stack:PythonJavaUnix/LinuxLLM orchestrationMCPRetrievalKnowledge groundingMLflowAirflowTrinoKnowledge graphsTracingExperiment trackingWorkflow orchestrationLocal tracingReplayGolden-trace regressionPR-gatingScoring

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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