Lead Software Engineer

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Salesforce

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1999

☁️ SaaS

🤝 B2B

🤖 Artificial Intelligence

SaaS • B2B • Artificial Intelligence

Salesforce is a leading cloud-based software company that provides a comprehensive customer relationship management (CRM) platform. The platform connects all company data and teams on an integrated, AI-driven system to improve sales, customer service, and marketing efforts. Salesforce offers scalable solutions for businesses of all sizes, including small and medium enterprises, and provides industry-specific solutions to modernize operations, save time, and reduce costs. Salesforce also offers educational resources through Trailhead and a wide selection of apps on AppExchange to extend its CRM capabilities.

📋 Description

• Architect and implement high-scale systems that manage agent data access patterns, including guardrails, traceability, telemetry, and auditability • Contribute to the design of the technical infrastructure required for the future of agents and be deeply involved in code production, code reviews, and design decisions • Partner with Product, Security, and Business Units to ensure agents operate with the correct data access permissions and governance controls • Lead technical direction for the team — set standards, mentor engineers, and drive alignment across a cross-functional group of stakeholders • Adopt and advocate for AI-first development patterns across the engineering organisation • Evaluate and evolve the team's use of emerging agentic frameworks and tooling as the landscape matures

🎯 Requirements

• 8+ years of industry experience with a proven track record of leading large-scale distributed systems or platform engineering • Deep understanding of the LLM lifecycle, including prompt engineering, RAG (Retrieval-Augmented Generation), agentic reasoning patterns (such as ReAct and Chain-of-Thought), and building MCP servers • Hands-on experience with agentic frameworks such as LangChain or PydanticAI • Strong proficiency in at least one modern language: Java, Python, Kotlin, Scala, Rust, or Go • Familiarity with a wide variety of data systems: vector, relational, and graph databases, event-driven architecture (Kafka), and large-scale data processing • Degree or equivalent relevant experience required

🏖️ Benefits

• This is a rare opportunity to work on infrastructure that doesn't exist yet • You'll have the autonomy to make foundational decisions • Inclusive environment for all employees