Senior Software Engineer, Biztech(ai Products)

Airbnb Airbnb · Consumer · Bangalore, India · Software Engineering

Senior Software Engineer focused on building AI-powered employee experience platforms, including LLM features, RAG pipelines, AI agents, and prompt optimization. The role involves taking AI prototypes to production, owning production AI systems, and implementing evaluation pipelines for responsible AI practices.

What you'd actually do

  1. Lead the technical design and implementation of LLM-powered features for OneChat and enterprise AI tools, including RAG pipelines, AI agents, and prompt optimization
  2. Partner with product managers, designers, and cross-functional teams to translate user problems into AI-powered solutions that serve Airbnb's global workforce
  3. Develop and iterate on agentic AI capabilities, including multi-step reasoning, tool use, and context-aware decision-making
  4. Implement evaluation pipelines and quality systems to measure model performance, detect hallucinations, and ensure responsible AI practices
  5. Own production AI systems end-to-end, including deployment strategies, monitoring, alerting, and incident response

Skills

Required

  • 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

Nice to have

  • Master's or PhD in Computer Science, Machine Learning, or related field
  • Experience building AI agents and multi-agent systems, preferably using Claude
  • Experience building integrations using MCP
  • Experience with containerization and orchestration (Docker, Kubernetes)
  • Background in building enterprise-grade internal tools and developer productivity platforms
  • Experience with frontend technologies (React, Next.js) for full-stack AI product development
  • Contributions to open-source Gen AI/ML projects or publications at top venues

What the JD emphasized

  • building production AI/ML systems
  • hands-on experience with Large Language Models (LLMs)
  • Track record of shipping AI-powered products from prototype to production
  • AI agents and multi-agent systems

Other signals

  • building AI prototypes from concept to production at scale
  • shipping AI-powered products from prototype to production
  • own production AI systems end-to-end