[Hiring] Software Engineering SMTS / LMTS - AI Core @Salesforce

Role Description

As an Engineer on the AI Core team, you'll operate as a technical leader who turns ambiguous, high-stakes AI problems into durable, high-quality systems, while raising the technical bar for the broader team. AI Core builds the retrieval systems and agent infrastructure that power how our AI agents find, trust, and use knowledge, and the developer tooling that lets engineers across the company ship production agents quickly and safely.

You'll lead significant initiatives end to end:

• Faithful answering over a customer's own knowledge.
• Retrieval that combines RAG and hybrid search.
• Content lifecycle controls such as freshness, deduplication, and source precedence.
• Transcript processing.
• Frameworks, registries, and evaluation tooling for building production agents.

You'll partner closely with product, design, and engineering leadership to decide what we build, how we build it, and how we measure whether answers actually got better.

What You'll Do

• Lead retrieval initiatives end to end: Design, build, and operate retrieval systems using RAG and hybrid search.
• Build developer tooling for production agents: Drive technical design for frameworks and platform pieces.
• Own answer quality: Diagnose issues with answers and set a quality bar.
• Design content and data models: Define how content is ingested, segmented, labeled, and retrieved.
• Make AI changes safe to ship: Build evaluation, observability, and rollout practices.
• Set performance and scaling benchmarks across the platform.
• Own operational health: Ensure reliability and performance of systems.
• Use agentic development to raise leverage: Create reusable workflows and tooling.
• Partner across functions: Work with product, design, and engineering leadership.
• Raise team effectiveness: Mentor engineers and improve standards, tooling, and processes.

Qualifications

• Proven experience shipping production AI or backend systems in a high ownership environment.
• Expertise building retrieval systems using RAG and hybrid search.
• Expertise building developer tooling for production agents.
• Experience owning platform initiatives from design through adoption.
• Demonstrated technical leadership.
• Strong track record delivering complex projects with multiple stakeholders.
• Strong backend engineering fundamentals and proficiency in languages such as Ruby on Rails, Python, JavaScript, or Go.
• Hands-on experience with the AI application lifecycle.
• Comfortable operating in ambiguity and driving clarity.
• Strong communicator across functions.
• Ownership mindset and bias for action.
• Curious and continuously learning.

Nice to Have

• Experience with pgvector or other vector indexes.
• Experience with content ingestion from third-party systems.
• Experience processing conversation or call transcripts.
• Experience designing evaluation suites for qualities such as thoroughness and faithfulness.
• Experience with voice or real-time conversational agents.
• Experience with enterprise SaaS or Salesforce/CRM integrations.
• Startup experience and rapid shipping.

Benefits

• Time off programs.
• Medical, dental, vision, and mental health support.
• Paid parental leave.
• Life and disability insurance.
• 401(k) plan.
• Employee stock purchasing program.