Software Engineer Manager driving technical support and mentoring for D365 F&O. Collaborating closely with global teams to enhance enterprise - scale Dynamics implementations.
About the role
- Senior Software Engineer building AI tools at Airbnb. Driving innovation and shaping employee efficiency through LLM-powered solutions and cross-functional collaboration.
Responsibilities
- Democratize AI by building tools that empower non-technical employees to leverage the power of LLMs
- Drive innovation by taking AI prototypes from concept to production at scale
- Shape the future of how Airbnb employees work, collaborate, and discover information
- Lead the technical design and implementation of LLM-powered features for OneChat and enterprise AI tools, including RAG pipelines, AI agents, and prompt optimization
- Partner with product managers, designers, and cross-functional teams to translate user problems into AI-powered solutions that serve Airbnb's global workforce
- Develop and iterate on agentic AI capabilities, including multi-step reasoning, tool use, and context-aware decision-making
- Implement evaluation pipelines and quality systems to measure model performance, detect hallucinations, and ensure responsible AI practices
- Own production AI systems end-to-end, including deployment strategies, monitoring, alerting, and incident response
- Collaborate with the DevAI team on AirChat SDK integrations, MCP (Model Context Protocol) implementations, and Glean Action Packs
- Mentor engineers (L6-L8) through design reviews, architecture discussions, and pair programming sessions
- Stay current with the rapidly evolving GenAI landscape, evaluating new models and techniques for potential application
- Balance hands-on technical contributions with technical leadership activities
Requirements
- 8+ years of software engineering experience, with significant focus on building production AI/ML systems
- 2+ years of hands-on experience with Large Language Models (LLMs), including fine-tuning, prompt engineering, embeddings, and retrieval-augmented generation (RAG)
- Strong proficiency in backend technologies (TypeScript, Go, or Java)
- Strong backend and distributed systems expertise, including API design (REST, GraphQL) and cloud infrastructure (AWS, GCP, or Azure)
- Track record of shipping AI-powered products from prototype to production
- Proven ability to collaborate cross-functionally and influence without authority
- Excellent communication skills with ability to distill complex technical concepts for diverse audiences
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
- Master's or PhD in Computer Science, Machine Learning, or related field (preferred)
Benefits
- Health insurance
- Flexible work arrangements
- Paid time off
- Professional development opportunities
- Inclusion and belonging commitment
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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