Software Engineer - Applied AI

Customer-facing: 30% working directly with customers. - 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. - Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through 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, perform data analysis, and build dashboards to surface insights that drive 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 constant communication loops with customers, engineering, product, customer success, support, and revenue teams to ensure alignment. - Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows like code repository integrations and advanced configurations. - Travel Ready: Willingness to travel up to 30% for on-site implementations, technical workshops, and customer engagements. What You 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 (one-way and two-way), API integration patterns (REST, GraphQL, webhooks), and event-driven/pub/sub architectures. - Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices (CI/CD, containers, observability). - 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 (MCP) for building adaptive, context-aware integrations. - Problem-Solving: Strong track record triaging and unblocking both technical and non-technical blockers to keep projects moving forward. - Documentation: Experience writing concise, well-structured documentation that supports long-term team understanding and seamless onboarding. - Communication: Strong written and verbal skills to articulate technical concepts to engineers, product teams, and business stakeholders. As part of our hiring process, shortlisted candidates will undergo a Background Verification (BGV). By applying, you consent to sharing personal information required for this process. Any offer made will be subject to successful completion of the BGV.