Member of Applied AI Engineering Team

Job not on LinkedIn

April 28

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Logo of DevRev

DevRev

B2B • SaaS

DevRev is a software company that focuses on the development and integration of client-server applications. Despite the technical error message provided, the company aims to streamline operations and enhance client development experiences.

51 - 200 employees

🤝 B2B

☁️ SaaS

💰 Seed Round on 2022-09

📋 Description

• 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. • 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.

🎯 Requirements

• 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

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