Responsibilities
- Lead technical discovery by mapping customer workflows, systems of record, failure modes, and opportunities for measurable agentic automation.
- Build and deliver proofs of concept and proofs of value using live customer data and systems.
- Design agent architectures covering orchestration, state management, tool and skill decomposition, guardrails, and escalation paths.
- Shape statements of work, solution designs, delivery plans, and technical effort estimates.
- Implement production agents on the DevRev platform, including instructions, deterministic workflows, skills, and enterprise integrations.
- Design evaluation harnesses, debug agent failures, and improve systems toward reliable production adoption.
- Drive hands-on integration work involving APIs, webhooks, authentication flows, and data mapping.
- Instrument and report adoption, containment, accuracy, and cost outcomes.
- Create reusable reference architectures, playbooks, sandbox environments, and internal tooling.
- Enable partner engineers and integrators through workshops and bootcamps, and provide structured field feedback to Product.
Requirements
- 8–10 years of experience in customer-facing technical roles such as forward-deployed engineering, field engineering, solution delivery, or technical specialization within B2B SaaS or enterprise software.
- Hands-on production experience building LLM-based systems involving agent orchestration, prompt and context engineering, RAG, tool or function calling, and evaluation.
- Proficiency in Python or JavaScript/TypeScript and strong engineering fundamentals, including API integrations, webhooks, and SQL.
- Experience with stakeholder workshops, proofs of concept, technical discovery, solution scoping, and effort estimation.
- Ability to communicate architecture to engineering audiences and business impact to executive stakeholders.
- Experience designing deterministic workflows or state machines for AI agents is a strong plus.
- Production experience in complex enterprise domains such as airlines, BFSI, telecom, or manufacturing is preferred.
- Familiarity with CRM or CX platforms including Salesforce, Zendesk, or ServiceNow; cloud platforms including AWS, Azure, or GCP; and modern DevOps tooling is preferred.
- Exposure to AI-assisted development workflows using Cursor, Copilot, or Claude Code is preferred.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Benefits
- Customer-embedded, full-time on-site work at client locations for the duration of each engagement, rather than remote-first work.
- Equal opportunity employment with protection against discrimination across legally protected characteristics.
Categories
About DevRev
Computer is the most precise, efficient, and safe AI platform for enterprise search, employee service/help desk, and customer support (including voice). It works by unifying all your existing systems and data into a patented, AI-ready knowledge graph: Native Shared Memory. Every tool, every team, every customer conversation lives in this compounding context. So every answer and action is grounded in what your company knows, and how it operates. With permissions and safety guardrails respected, always. PROVEN EFFICIENCY, PRECISION, AND SAFETY We tested Computer against the market-leading AI on enterprise data: – 48% more accurate – 4.4x fewer tokens used – Cost stays flat at 256x data growth (vs. 29% growth) These results are from “Enterprise-Bench” – the AI industry’s first open, vendor-neutral benchmarking tool. Developed with Laude Institute, validated by Professor Alexandros Dimakis (UC Berkeley). The benchmark model, dataset, and traces are all public. (Feel free to get in touch to learn more.) REAL-WORLD RESULTS More and more companies are trusting Computer: – Bolt: 40% faster ticket resolution. 43% cut in live ticket volume. 25% increase in customer retention. – Bill: 70% of support tickets fully resolved without a human. 100% deployment across all market segments in 15 weeks. Up to $6M in annual savings. – $1.1B org*: 2,000+ new hires onboarded in one year without hiring extra IT staff. 10 weeks to full deployment across all teams. *We can’t reveal the name of our (very) happy customer just yet – but we will soon. DevRev is headquartered in Palo Alto, with eight global offices. We’re backed by Khosla Ventures and Mayfield, with $150M+ raised. Founded by Dheeraj Pandey, former co-founder and CEO of Nutanix [NASDAQ: NTNX], and board member at Adobe [NASDAQ: ADBE], alongside Manoj Agarwal, former SVP of Engineering at Nutanix.