About the Role
Role details below.
Responsibilities
- Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations connecting DevRev with customer environments
- 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, and customer success teams
- Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows
- Travel Ready: Willingness to travel up to 30% for on-site implementations, technical workshops, and customer engagements
Requirements
- 3–5+ years in software development, systems integration, or platform engineering
- Strong proficiency in TypeScript, JavaScript, Python, data structures and algorithms
- Familiarity with LLMs, prompt engineering, frameworks like RAG and function calling; ability to build and configure AI agents
- Deep experience with API integration patterns (REST, GraphQL, webhooks), large-scale data synchronization, and event-driven/pub-sub architectures
- Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices
- Skilled in data mapping, schema alignment, and working with heterogeneous systems
- Experience implementing clear logging, actionable error surfacing, and telemetry t
Work Arrangement
Hybrid