Principal Software Engineer, AI
AI summary of the role
Principal AI Engineer owning the design and build-out of the AI Context Layer—a data platform (knowledge graph, RAG engines, retrieval/search infrastructure) that supplies AI agents with governed, high-quality context.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Own the technical vision and roadmap for the AI Context Layer, including knowledge graph, RAG engines, and retrieval/search infrastructure.
- Design and own the access control and RBAC model for multi-tenant data, agent identity, and fine-grained permissions.
- Define and evolve APIs, SDKs, and developer interfaces for the context layer, ensuring ergonomic, well-documented, and scalable interfaces.
- Drive architecture discussions, design/code reviews, and set technical standards for context modeling, storage, retrieval, and governance.
What you’ll bring
- 12+ years of professional software engineering experience, with strong focus on data-layer or search/retrieval infrastructure.
- Proven experience designing and building knowledge graphs and/or large-scale retrieval/search systems in production.
- Deep expertise in RAG architectures, vector databases, and embedding-based retrieval, including evaluation and relevance optimization.
- Strong understanding of access control and RBAC design in multi-tenant, data-rich environments.
Technologies
knowledge graph · RAG · vector databases · embedding-based retrieval · RBAC · APIs · SDKs · Python · Java · data governance
About Salesloft
AI-powered revenue orchestration platform enabling sales teams to prioritize actions via buyer signals and workflows; merged with Clari to form Predictive Revenue System.
Private Late · 1000–2000 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
OPPORTUNITY: You will be a key member of our fast-growing and high-performing AI Platform team in the US, owning the design and build-out of our AI Context Layer - the data platform that gives our AI agents access to high-quality, well-governed context about the world they operate in. We are looking for an experienced AI Engineer who can help realize the Clari + Salesloft vision with their passion and proven track record of excellence and innovation. We are looking for engineers who are passionate about their work and who thrive on leading-edge technologies to develop ground-breaking AI-driven enterprise-grade applications. On a day-to-day basis, you will be responsible to - Embed with feature teams across the organization to understand what they need from the context layer - what data, at what quality, in what form - and use those insights to drive the platform roadmap. Build the
More from the job description
Job Title: Principal Software Engineer, AI Location: Remote - US Clari + Salesloft are building the next era of enterprise revenue - one where teams make confident decisions powered by AI and real signals. By combining our scale, insights, and AI innovation, we’re building the industry’s first Predictive Revenue System, enabling humans and AI to work together to make smarter decisions and drive consistent growth. With thousands of customers using our platforms every day, we have an unmatched view into how revenue is actually won - the Revenue Context that reveals what happens, when, and with what outcome. This gives us a unique opportunity to transform an entire category and set a new benchmark for how modern revenue teams operate. Join us to help transform how companies around the world run revenue - and build the platform that will guide leading revenue teams into the future. THE OPPORTUNITY: You will be a key member of our fast-growing and high-performing AI Platform team in the US, owning the design and build-out of our AI Context Layer - the data platform that gives our AI agents access to high-quality, well-governed context about the world they operate in. We are looking for an experienced AI Engineer who can help realize the Clari + Salesloft vision with their passion and proven track record of excellence and innovation. We are looking for engineers who are passion [... source excerpt omitted ...] n of high-quality data products - including a knowledge graph, RAG engines, and retrieval/search infrastructure - that give AI agents access to the best possible context about our customers and their revenue processes. Design and own the access control and RBAC model for the context layer - a genuinely hard problem at the intersection of multi-tenant data, agent identity, and fine-grained permissions. Define and evolve the APIs, SDKs, and developer interfaces that teams use to interact with the context layer, ensuring they are ergonomic, well-documented, and built for scale. Identify data platform dependencies and work closely with data engineering to ensure the underlying dat [... source excerpt omitted ...] ive architecture discussions, design and code reviews, and set the technical standard for how context is modeled, stored, retrieved, and governed. Address governance and security requirements around data access, lineage, and auditability in an AI context. Contribute to hiring strong and diverse talent to strengthen the team. Contribute actively to internal documentation, onboarding, and platform adoption programs to ensure the Context Layer is well-understood and widely used. In addition to working with amazing colleagues who exemplify our 'team over self' core value, you will also have the opportunity to work on impactful and revolutionary software that is changing the way selle
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