Software Engineer, BizTech(Python, LLM, GenAI, MCP)

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 pride in building reliable systems and solutions, is eager to learn and grow, and is enthusiastic about applying AI — building new tools and integrations with Claude Code that enhance and extend what our team can do.

• Partner with Finance and cross-functional teams across Airbnb to translate their requirements into integrations, automations, and reporting.
• Contribute to design discussions and reviews alongside architects and senior engineers.
• Migrate integrations from Oracle Cloud onto our in-house platform.
• Grow your craft through design reviews, architecture discussions, and pair programming with senior engineers.
• 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.

• →Build and maintain integrations and microservices in Java/Python/TypeScript, with a focus on quality and reliability.
• →Contribute features to the in-house integration platform and to No-code platform.
• →Design and build AI-assisted automations and MCP integrations that extend internal platform capabilities.
• →Implement solutions for Oracle module requirements and review them with the team.
• →Uphold quality and reliability through code reviews, testing, monitoring, and incident response.
• →Document designs and runbooks, and support the application infrastructure.

• 5+ years of software engineering experience building production systems.
• Hands-on exposure to AI-assisted development and integrating LLMs into applications (e.g., prompt engineering, 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.
• Working knowledge of backend and distributed systems, including API design and a cloud platform (AWS preferred).
• Track record of using AI in development to ship products from prototype to production.
• Proven ability to collaborate cross-functionally.
• Clear written and verbal communication skills.

• 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).