DevRev - Forward Deployed Engineer - Applied AI
Requirements
• Experience: 5+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus. • Coding Skills: Strong proficiency in TypeScript, JavaScript, Python, data structures and algorithms. (Nice to have: Go) • 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. • Design & Deploy AI Agents: • Applied AI Knowledge: Familiarity with large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions. • Applied AI Knowledge: • Integration: Deep experience with large-scale data synchronization (one-way and two-way), API integration patterns (REST, GraphQL, webhooks), and event-driven/pub/sub architectures. • Integration: • Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices (CI/CD, containers, observability). • Cloud & Deployment: • Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems. Understanding of data modeling and graph data structures. • Data Transformation: • Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging and issue resolution. • Observability: • Context-Aware Systems: Familiarity with Model Context Programming (MCP) for building adaptive, context-aware integrations. • Context-Aware Systems: • Communication and Customer Empathy: Strong written and verbal skills • 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 • Background
Responsibilities
• Customer-facing: 30% working directly with customers • Customer-facing: • Coding & Integration: 70-80% hands-on technical implementation • Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows. • Build & Deploy Solutions: • Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow. • Integrate Systems: • Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience. • Optimize AI Performance: • Own Data Insights: Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer decision-making. • Own Data Insights: • Prototype & Iterate: Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer and stakeholder feedback. • Prototype & Iterate: • Lead Cross-functional Collaboration: Maintain constant communication loops with customers, engineering, product, customer success, support, and revenue teams to ensure alignment. • Lead Cross-functional Collaboration: • Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows like code repository integrations and advanced configurations. • Guide Technical Adoption: • Travel Ready: Willingness to travel up to 30% for on-site implementations, technical workshops, and customer engagements. • Travel Ready:
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