Job
Description
As a Forward Deployed Engineer at DevRev, your role involves working closely with the pre- and post-sales Customer Experience team to develop solutions over the core platform via applications written in TypeScript, JavaScript, Python, and more. A key aspect of your responsibilities will be building the Knowledge Graph, which includes integrating DevRev with other SaaS and non-SaaS systems through webhooks, APIs, and real-time communication architectures. Your creativity and expertise will be essential in shaping how AI, analytics, and workflows are utilized in customers' processes. - Customer-facing: Spend 30% of your time working directly with customers. - Coding & Integration: Allocate 70-80% of your time to hands-on technical implementation. - Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations connecting DevRev with customers' existing tech stacks and workflows. - Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms using APIs, webhooks, and real-time communication architectures for seamless data flow. - Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience. - Own Data Insights: Write SQL queries, conduct data analysis, and build dashboards to provide insights driving customer decision-making. - Prototype & Iterate: Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer and stakeholder feedback. - Lead Cross-functional Collaboration: Maintain communication with customers, engineering, product, customer success, support, and revenue teams to ensure alignment. - Guide Technical Adoption: Learn new tools and guide customers through critical workflows like code repository integrations and advanced configurations. - Travel Ready: Be willing to travel up to 30% for on-site implementations, technical workshops, and customer engagements. You should bring: - Experience: 3+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus. - Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. - Coding Skills: Strong proficiency in TypeScript/JavaScript, Python, data structures, and algorithms. (Nice to have: Go) - 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. - Integration Expertise: Deep experience with large-scale data synchronization, API integration patterns, and event-driven/pub-sub architectures. - Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms with modern DevOps practices. - Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems. Understanding of data modeling and graph data structures. - Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging and issue resolution. - Context-Aware Systems: Familiarity with Model Context Programming for building adaptive, context-aware integrations. - Problem-Solving: Strong track record of triaging and unblocking technical and non-technical blockers. - Documentation: Experience writing concise, well-structured documentation to support long-term team understanding and seamless onboarding. - Communication: Strong written and verbal skills to articulate technical concepts to various stakeholders. As a Forward Deployed Engineer at DevRev, your role involves working closely with the pre- and post-sales Customer Experience team to develop solutions over the core platform via applications written in TypeScript, JavaScript, Python, and more. A key aspect of your responsibilities will be building the Knowledge Graph, which includes integrating DevRev with other SaaS and non-SaaS systems through webhooks, APIs, and real-time communication architectures. Your creativity and expertise will be essential in shaping how AI, analytics, and workflows are utilized in customers' processes. - Customer-facing: Spend 30% of your time working directly with customers. - Coding & Integration: Allocate 70-80% of your time to hands-on technical implementation. - Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations connecting DevRev with customers' existing tech stacks and workflows. - Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms using APIs, webhooks, and real-time communication architectures for seamless data flow. - Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience. - Own Data Insights: Write SQL queries, conduct data analysis, and build dashboards to provide insights driving customer decision-making. - Prototype
