Principal Software Engineer, AI

Job not on LinkedIn

🔥 14 hours ago

🇲🇽 Mexico – Remote

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 10%

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Salesloft

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2011

🤝 B2B

☁️ SaaS

⚡ Productivity

B2B • SaaS • Productivity

Salesloft is a company that provides a sales engagement platform designed to help businesses improve their sales processes and enhance customer relationships. The platform offers features such as email tracking, call logging, and sales analytics, allowing sales teams to engage with prospects more effectively and efficiently. Salesloft integrates with various third-party applications, including Salesforce, LinkedIn, and Microsoft Outlook, to streamline sales activities and improve productivity. The company also focuses on providing reliable services by monitoring and resolving incidents that may impact the use of their platform, ensuring minimal disruption to their users.

📋 Description

• Embed with feature teams to understand context-layer data needs and drive the platform roadmap • Build the technical vision and roadmap for the AI Context Layer, including knowledge graphs, RAG engines, and retrieval/search infrastructure • Design and own access control and RBAC for multi-tenant data, agent identity, and fine-grained permissions • Define and evolve APIs, SDKs, and developer interfaces for the Context Layer • Identify data platform dependencies and collaborate with data engineering on reliable infrastructure • Drive architecture discussions, design reviews, code reviews, and technical standards • Address data access, lineage, governance, security, and auditability requirements • Contribute to hiring, internal documentation, onboarding, and platform adoption • Provide cross-cutting technical leadership, roadmap synthesis, and coordination across platform domains

🎯 Requirements

• 12+ years of professional software engineering experience, with a strong focus on data-layer or search/retrieval infrastructure • Proven experience designing and building knowledge graphs and/or large-scale retrieval and search systems in production • Deep expertise in RAG architectures, vector databases, and embedding-based retrieval, including evaluation, quality tuning, and relevance optimization • Strong understanding of access control and RBAC design in multi-tenant, data-rich environments • Experience designing developer-facing APIs and SDKs, with a track record of building intuitive, well-adopted interfaces • Familiarity with data governance, lineage, and auditability requirements, particularly in enterprise or regulated contexts • Demonstrated ability to lead technical direction across multiple teams and drive complex, multi-stakeholder projects to delivery • Experience with Python and/or Java; comfort working across data engineering, backend systems, and platform infrastructure • Excellent communication skills across engineering, product, data, and leadership • Ability to work in an inclusive, collaborative, Agile engineering environment

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