Jobs at DevRev

Develop and deploy AI agents, integrations, and automations for customer workflows. Build knowledge graphs, synchronize data across SaaS and non-SaaS systems, and implement APIs, webhooks, and real-time architectures. Optimize AI performance through prompt engineering and semantic search, write SQL and dashboards, prototype solutions, conduct technical demos, and collaborate with customers and cross-functional teams. The role is 30% customer-facing, requires strong software and cloud deployment skills, and involves 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.