Member of Applied AI - Engineering Leader

What you'll do 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. What you'll bring Experience : 7+ years in software design and development, AI/ML engineering, or technical consulting coupled with customer-facing experience Leadership: 3+ years leading technology teams as a hands-on leader Customer Empathy : A bias for action and a relentless focus on solving problems for customers. Communication : Strong written and verbal skills to articulate technical concepts to both engineers and business stakeholders. Cloud & DevOps : Hands-on experience with AWS, GCP, or Azure, and modern DevOps practices (CI/CD, containers, observability). System Integration : Comfortable integrating systems via APIs, webhooks, and event/data pipelines. Data-Driven Mindset : Use A/B testing, telemetry, and metrics to guide decisions and drive improvements. Background : Bachelor's or Master’s degree in Computer Science, Engineering, or related discipline. Advanced degrees or certifications in AI/architecture frameworks (e.g., TOGAF, SAFe) are a plus Exp Range - 12+ 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. DevRev is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.