Member of Applied AI - Connectors

**Job Description** **Role Overview:** As an Applied AI Engineer at DevRev, you will be responsible for delivering custom solutions to customers. Your role will involve utilizing your expertise in integrations, cloud technologies, and AI/ML to connect DevRev with various SaaS and enterprise systems. You will collaborate with different teams and customers to ensure successful adoption and maximum impact. **Key Responsibilities:** - Design, develop, and maintain integrations and automations between DevRev and third-party systems using APIs, webhooks, and real-time communication. - Utilize AI/ML technologies, including Generative AI and large language models (LLMs), to address customer challenges and enhance workflows. - Create and optimize knowledge graphs and semantic search engines to enhance data discovery. - Analyze data, write SQL queries, and develop dashboards to provide actionable insights to customers and internal teams. - Work closely with customers and internal stakeholders to gather requirements and deliver customized solutions. - Document solutions for maintainability, scalability, and resilience in all integrations. - Deploy and manage solutions on serverless/cloud platforms such as AWS Lambda, Google Cloud Functions, and Azure Functions. - Ensure security in API integrations by implementing practices like OAuth, API key/token management, and secrets handling. **Qualifications Required:** - 6+ years of experience in integration software development, specifically with APIs, webhooks, and automation for customer-facing solutions. - Proficient coding skills in TypeScript, JavaScript, Python, or Go. - Familiarity with serverless/cloud platforms like AWS Lambda, Google Cloud Functions, and Azure Functions. - Knowledge of OpenAPI specifications, SDK integrations, and secure API practices (OAuth, API keys, secrets management). - Understanding of event-driven and pub/sub architectures. - Experience in data mapping, transformation, and working with graph data structures. - Background in AI/ML, particularly in LLMs, prompt engineering, or semantic search, is advantageous. - Strong communication and documentation abilities. - Bachelor's degree in Computer Science, Engineering, or a related field (advanced certifications in AI/architecture are a plus). (Note: Additional details about the company were not present in the provided job description.),