Jobs at DevRev

Leads customer-facing AI transformation initiatives from business discovery through solution architecture and implementation. Designs scalable AI workflows, agents, integrations, and enterprise solutions using DevRev’s platform. Partners with customers, sales, customer success, engineering, and product teams to translate requirements into measurable outcomes. Supports pre-sales, oversees delivery with Applied AI engineers, drives reusable architecture, and ensures performance, security, and compliance. Requires extensive travel for implementations, workshops, and customer engagements.

Develop customer-facing AI agents, integrations, automations, and Knowledge Graph solutions. Connect SaaS and non-SaaS systems using APIs, webhooks, and event-driven architectures; optimize AI performance through prompt engineering and semantic search; analyze data with SQL and dashboards; prototype solutions, lead technical demos, collaborate cross-functionally, and guide customer adoption. The role involves approximately 80% customer engagement, 70–80% hands-on implementation, and up to 80% travel.

Own the architecture, development, and operation of scalable data pipelines, distributed data systems, databases, and data products. Define data quality and reliability standards, optimize data models and SQL workloads, build reusable infrastructure, and establish testing, observability, and deployment practices. Partner with engineering, AI, data science, and product teams to deliver reliable data solutions, influence platform strategy, and mentor engineers.

As a Forward Deployed Engineer, you will design, build, and deploy AI agents, integrating them with external systems, optimizing performance, and advising customers on AI architecture and scalability.

Develop and deploy AI agents, integrations, automations, and workflow solutions for customers. Build knowledge graphs and connect SaaS and non-SaaS systems using APIs, webhooks, and real-time architectures. Optimize AI performance through prompt engineering and semantic search, analyze data with SQL, create dashboards, prototype solutions, conduct technical demonstrations, and collaborate across customer-facing and internal teams. The role involves approximately 30% customer engagement and up to 80% travel.

Own enterprise AI engagements from discovery through production deployment. Design, build, integrate, debug, evaluate, and harden agentic systems using LLMs, RAG, tool calling, workflows, and guardrails. Lead technical workshops, proofs of concept, solution scoping, and executive ROI discussions. Measure adoption, containment, accuracy, and cost outcomes; create reusable delivery assets; enable partners; and provide product feedback. The role is customer-embedded and requires sustained on-site presence during engagements.

The Solutions Engineer will support direct sales cycles, providing technical expertise and tailored solutions for customers, while collaborating closely with Sales, Product, and Engineering teams.