Software Engineer – Applied AI

This is a fully remote position, open to applicants in Philippines.

📋 Description

• Customer-facing role involves 30% direct interaction with clients.

• Technical implementation comprises 70-80% of the responsibilities, focusing on coding and integration.

• Design, develop, and deploy AI agents, along with integrations and automations that link DevRev with the existing technology stacks and workflows of customers.

• Facilitate system integration by connecting DevRev to SaaS and non-SaaS platforms utilizing APIs, webhooks, and real-time communication architectures for a smooth data flow.

• Enhance AI performance by employing prompt engineering, fine-tuning semantic search engines, and utilizing generative AI techniques to improve agent accuracy and user experience.

• Take ownership of data insights by writing SQL queries, conducting data analyses, and creating dashboards that reveal insights to inform customer decision-making.

• Rapidly prototype and iterate by developing proofs-of-concept, delivering live technical demonstrations, and refining solutions based on feedback from customers and stakeholders.

• Lead cross-functional collaboration by maintaining ongoing communication with customers, engineering, product, customer success, support, and revenue teams to ensure alignment.

• Guide technical adoption by mastering new tools and assisting customers through essential workflows, such as code repository integrations and advanced configurations.

⛳️ Requirements

• Minimum of 3 years of experience in software development, systems integration, or platform engineering; customer-facing experience is advantageous.

• Educational background includes a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline.

• Proficient in TypeScript/JavaScript and Python, with a strong grasp of data structures and algorithms (experience in Go is a plus).

• Knowledge of applied AI, including familiarity with large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evaluations to validate agentic AI solutions.

• Extensive experience in large-scale data synchronization (both one-way and two-way), API integration patterns (REST, GraphQL, webhooks), and event-driven/pub/sub architectures.

• Hands-on experience in deploying applications on serverless and edge platforms (e.g., AWS Lambda, Google Cloud Functions) while employing modern DevOps practices (CI/CD, containers, observability).

• Expertise in data transformation, including data mapping, schema alignment, and working with heterogeneous systems, along with a solid understanding of data modeling and graph data structures.

• Experience in implementing effective logging, actionable error reporting, and telemetry to facilitate quicker debugging and issue resolution.

• Familiarity with Model Context Programming (MCP) for creating adaptive, context-aware integrations.

• Proven problem-solving abilities with a strong track record of triaging and removing both technical and non-technical obstacles to keep projects advancing.

• Experience in producing clear, concise documentation that aids long-term team understanding and ensures smooth onboarding.

• Strong written and verbal communication skills to effectively convey technical concepts to engineers, product teams, and business stakeholders.

🏝️ Benefits

• Willingness to travel up to 30% for on-site implementations.

• Opportunity to define a company-funded educational budget for personal and professional growth.

• Encouragement to share knowledge and technical skills among team members to enhance overall company performance.