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.
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.
Technical Skills
API integrations (calling & building) : REST API design, building, and consumption, Webhooks building and handling, Microservices architecture, Event-driven architecture, GraphQL.
Languages : TypeScript / Python, JavaScript / Node.js, SQL.
