Senior Software Engineer, (Python, GenAI, MCP)

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Senior Software Engineer, Integrations & Application Engineering Airbnb | India Company Overview Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join The Integrations & Application Engineering team owns the integration and automation platforms at Airbnb. We enable teams across the company to self-serve in connecting their systems and automating solutions, and we integrate Airbnb’s enterprise systems end-to-end. The team also builds and manages custom in-house solutions and the application infrastructure that supports them. This role focuses on designing, building, and maintaining Finance integrations and reports, and on developing the libraries and plugins that power our in-house platforms. We’re looking for someone who takes ownership of systems and solutions, is eager to learn, and is enthusiastic about applying AI — building new tools and integrations with Claude Code that enhance and extend what our team can do. A Typical Day Partner with Finance and cross-functional teams across Airbnb to translate their requirements into integrations, automations, and reporting. Work alongside architects and other technical teams in design discussions and reviews. Migrate integrations from Oracle Cloud onto our in-house platform. Pair with and mentor junior engineers and contractors through design reviews, architecture discussions, and pair programming. Triage and resolve issues across the integrations and infrastructure you support. Explore the rapidly evolving GenAI landscape, evaluating new models and techniques for potential application, and share the learnings. Role & Responsibilities Own the architecture, delivery, and reliability of integrations and microservices in Java/Python/TypeScript. Extend the in-house integration platform so technical teams across Airbnb can self-serve, and build no-code features that let non-technical teams automate their own workflows. Design and build AI-assisted automations and MCP integrations that extend internal platform capabilities. Translate Oracle module requirements into solutions, review with the team, and present to stakeholders. Uphold quality and reliability through code reviews, testing, monitoring, and incident response. Document designs and runbooks, and support the application infrastructure. Your Expertise Required: 8+ years of software engineering experience, with significant focus on building production systems. 2+ years of hands-on experience with AI integration architecture, including using LLMs in intelligent automation, fine-tuning, prompt engineering, and RAG. Strong proficiency in backend technologies (TypeScript, Python, or Java) and building microservices and integrations. Good understanding of messaging infrastructure, data streaming, and storage solutions. Experience with relational and NoSQL databases, including the ability to write, review, and suggest PL/SQL code optimization. Strong backend and distributed systems expertise, including API design and AWS. Track record of using AI in development to ship products from prototype to production. Proven ability to collaborate cross-functionally and influence without authority. Excellent communication skills, with the ability to distill complex technical concepts for diverse audiences. Preferred: Financial domain knowledge and experience with Oracle Cloud products or other ERP systems. Experience building AI agents and MCPs, preferably using Claude. Experience building integrations using MCP. Experience with containerization and orchestration (Docker, Kubernetes). Contributions to open-source, publications at top venues, or public speaking engagements.