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At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries.
Job Responsibility:
Customer-facing: Working directly with customers
Lead Execution: Define project plans, align internal teams, and ensure timely delivery of deployments
Design & Deploy AI Agents: Build and configure intelligent solutions leveraging snap-ins, connectors (AirSync), workflows, and AI agents on the DevRev platform to solve real customer problems
Integrate Systems: Connect AI agents with external platforms (e.g., CRMs, APIs, databases) for seamless workflow automation
Optimize Performance: Tune prompts, logic, and agent configurations for accuracy, reliability, and scalability
Own Requirements: Partner with customers to deeply understand their needs and translate them into technical agent specifications
Prototype & Iterate: Lead live demos, build rapid proof-of-concepts, and refine solutions through customer feedback
Advise Customers: Act as a trusted technical advisor on AI agent architecture, performance, and long-term scalability
Requirements:
5+ years in software design and development, AI/ML engineering, or technical consulting coupled with customer-facing experience
3+ years leading technology teams as a hands-on leader
A bias for action and a relentless focus on solving problems for customers
Strong written and verbal skills to articulate technical concepts to both engineers and business stakeholders
Hands-on experience with AWS, GCP, or Azure, and modern DevOps practices (CI/CD, containers, observability)
Comfortable integrating systems via APIs, webhooks, and event/data pipelines
Use A/B testing, telemetry, and metrics to guide decisions and drive improvements
Bachelor's or Master’s degree in Computer Science, Engineering, or related discipline
Nice to have:
Coding Skills: Strong proficiency using TypeScript/JavaScript, Python, data structures and algorithms, (Nice to have: Go)
Applied AI Knowledge: Large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions