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Job Description
DevRev is seeking a Member of the Applied AI Engineering Team (ETL) to contribute to their AgentOS platform, designed for SaaS companies. This role involves working closely with the Customer Experience team to develop solutions on the core platform using languages like TypeScript, JavaScript, Python, and Java. The primary function is building the Knowledge Graph by integrating DevRev with other SaaS and non-SaaS systems through ETL and real-time communication approaches. The ideal candidate will employ their creativity and expertise to shape how AI, analytics, and workflows are used in customers' processes.
Responsibilities:
- Design, develop, and implement integrations, automations, and customizations to integrate DevRev with customers’ tech stack and workflows.
- Integrate DevRev with other SaaS and non-SaaS systems through ETL and/ or real-time communication technical architecture.
- Utilize AI in novel ways to solve customer problems, including Generative AI techniques like prompt engineering for foundation large language models (LLMs).
- Work on semantic search engine fine-tuning for better search accuracy.
- Conduct data analysis, writing SQL queries, and building dashboards to share insights and drive decision-making.
- Communicate and keep constant feedback loops to all key stakeholders.
- Learn new tools and guide customers through critical workflows, e.g. integration with code repositories.
Requirements:
- 3+ years of experience in integration development, including ETL workflows in customer-facing SaaS environments.
- Deep experience in one-way and two-way data synchronization across systems.
- Expertise in API integration, including OpenAPI specs, webhooks, callbacks, and third-party SDKs (Google, Azure).
- Strong background in scalable, resilient architecture using maintainable design patterns.
- Skilled in building resilient integrations using rate limiting, retries, and exponential backoff.
- Proficient in event-driven and pub/sub architectures for scalable solutions.
- Strong grasp of secure API practices, including OAuth, token management, and secret handling (e.g., AWS/GCP Vaults).
- Deployment experience on serverless and edge platforms (AWS Lambda, GCP Functions).
- Hands-on coding with TypeScript/JavaScript, Python, Go, and SQL.
- 3+ years with unit testing, automation, and software reliability practices.
- Capable of producing clear logging and actionable error reporting for observability.
- Effective communicator with well-documented code and onboarding material.
- Experience with Model Context Programming (MCP).
- Familiarity with Generative AI, including GPT-4, prompt engineering, and fine-tuning.
- Knowledge of vector databases and data embeddings.
- Proven ability to triage blockers and drive multiple projects to delivery.
- Bachelor's degree in Computer Science or related field; advanced certifications in AI/architecture a plus.
