Responsibilities
- Spend approximately 30% of the role working directly with customers and 70–80% on hands-on technical implementation.
- Design, develop, deploy, and iterate AI agents, integrations, and workflow automations connected to customer technology stacks.
- Build Knowledge Graph integrations with SaaS and non-SaaS systems using APIs, webhooks, and real-time communication architectures.
- Improve AI agent accuracy and user experience through prompt engineering, semantic search tuning, generative AI techniques, and evaluation development.
- Write SQL queries, perform data analysis, and build dashboards that surface customer insights.
- Develop proofs of concept, conduct live technical demonstrations, and refine solutions based on stakeholder feedback.
- Collaborate with customers, engineering, product, customer success, support, and revenue teams.
- Guide customers through repository integrations, advanced configurations, and critical workflows.
- Implement logging, error surfacing, and telemetry to support debugging and issue resolution.
- Travel up to 30% for on-site implementations, workshops, and customer engagements.
Requirements
- At least 5 years of experience in software development, systems integration, or platform engineering.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
- Strong proficiency in TypeScript or JavaScript and Python, with knowledge of data structures and algorithms; Go is a plus.
- Familiarity with LLMs, prompt engineering, RAG, function calling, and building evaluations for agentic AI solutions.
- Deep experience with large-scale one-way and two-way data synchronization, REST and GraphQL integrations, webhooks, and event-driven or pub/sub architectures.
- Hands-on experience deploying on serverless and edge platforms such as AWS Lambda and Google Cloud Functions.
- Experience with modern DevOps practices, containers, and observability.
- Skills in data mapping, schema alignment, heterogeneous systems, data modeling, and graph data structures.
- Familiarity with Model Context Programming for adaptive, context-aware integrations.
- Strong problem-solving, written and verbal communication, and technical documentation skills.
- Customer-facing experience is a plus.
Benefits
- Willingness and ability to travel up to 30% for on-site customer work is required.
- Shortlisted candidates undergo background verification, and offers are contingent on successful completion.
- DevRev is an equal opportunity employer.
Tech Stack
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.