Software Engineer – Applied AI

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DevRev

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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

• Customer-facing: 30% working directly with customers. • Coding & Integration: 70-80% hands-on technical implementation • Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows. • 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, customer success, support, and revenue teams to ensure alignment. • Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows like code repository integrations and advanced configurations.

🎯 Requirements

• Experience: 3+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus. • Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. • Coding Skills: Strong proficiency in TypeScript/JavaScript, Python, data structures and algorithms. (Nice to have: Go) • Applied AI Knowledge: Familiarity with large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions. • Integration Expertise: Deep experience with large-scale data synchronization (one-way and two-way), API integration patterns (REST, GraphQL, webhooks), and event-driven/pub/sub architectures. • Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices (CI/CD, containers, observability). • Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems. Understanding of data modeling and graph data structures. • Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging and issue resolution. • Context-Aware Systems: Familiarity with Model Context Programming (MCP) for building adaptive, context-aware integrations. • Problem-Solving: Strong track record triaging and unblocking both technical and non-technical blockers to keep projects moving forward. • Documentation: Experience writing concise, well-structured documentation that supports long-term team understanding and seamless onboarding. • Communication: Strong written and verbal skills to articulate technical concepts to engineers, product teams, and business stakeholders.

🏖️ Benefits

• Travel Ready: Willingness to travel up to 30% for on-site implementations, technical workshops, and customer engagements.