Data Engineer

As an Applied AI engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, Java, etc. One of the key functions of this role is, building the Knowledge Graph that includes integration of DevRev with other SaaS and non-SaaS systems through ETL and/ or real-time communication approaches. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers' processes.

Objectives of this role will include:

• Design, develop and implement integrations, automations and customizations to integrate DevRev with customers’ tech stack and workflows, and ensure successful customer engagements.
• 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) to enable great AI agent experience.
• 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.
• Be proactive in communicating and keeping constant feedback loops to all key stakeholders including Customers, Engineering, Product, Customer Success & Support, Revenue, Marketing etc.
• Learn new tools and guide customers through critical workflows, e.g. integration with code repositories.

Ideal Candidate Qualifications:

•  6+ 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.
• Strong in data mapping, transformation, and schema alignment
• 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