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Designs and deploys AI-agent solutions for customers, translating business requirements into scalable architectures. Responsibilities include system integrations, prompt and agent optimization, proofs of concept, custom development, technical demonstrations, project execution, debugging, and customer advising. The role partners across pre-sales, customer success, engineering, and product teams while delivering hands-on AI transformation projects.

Develop customer-facing AI agents, integrations, automations, and Knowledge Graph solutions. Connect SaaS and non-SaaS systems through APIs, webhooks, and event-driven architectures. Optimize AI performance with prompt engineering, semantic search, RAG, and evaluations. Write SQL, analyze data, build dashboards, deploy cloud solutions, troubleshoot integrations, conduct technical demos, document solutions, and collaborate with customers and cross-functional teams. The role involves approximately 80% customer engagement and up to 80% travel.

Partner with customers to understand industrial workflows, systems, and data. Design end-to-end AI solutions, integrations, automations, and agentic workflows; build tailored demos and proofs of concept; support APIs, webhooks, and data pipelines; contribute to technical proposals and solution architectures; and advise customers on applying DevRev’s AI platform to automotive, manufacturing, renewable energy, and IoT use cases.

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.