Director of Engineering - Applied AI

Serko • Seattle, WA

27d

About The Position

Serko is a cutting-edge tech platform in global business travel & expense technology. When you join Serko, you become part of a team of passionate travellers and technologists bringing people together, using the world’s leading business travel marketplace. We are proud to be an equal opportunity employer, we embrace the richness of diversity, showing up authentically to create a positive impact. There's an exciting road ahead of us, where travel needs real, impactful change. With offices in New Zealand, Australia, North America, and China, we are thrilled to be expanding our global footprint, landing our new hub in Bengaluru, India. With rapid a growth plan in place for India, we’re hiring people from different backgrounds, experiences, abilities, and perspectives to help us build a world-class team and product. We're building a greenfield AI-native travel booking product designed specifically for the US market—an intent-driven conversational experience that transforms natural language into policy-compliant, bookable trips. This is a rare opportunity to define architecture and engineering standards for a new AI product from near-zero, operating with startup pace and autonomy while backed by an ASX-listed company with substantial resources.

Requirements

• 8+ years leading engineering teams and 5+ years building production ML / LLM systems end-to-end.
• Hands-on experience deploying LLMs/agentic systems, model integrations, or AI inference at scale.
• Strong track record of delivering platform reliability, operational excellence, and reducing tech debt.
• Excellent cross-functional communication with Product and business leaders.
• Based in the Bay Area or willing to work West-coast hours.

Nice To Haves

• Experience with RLHF/RLAIF, model serving stacks, or large scale data pipelines.
• Background in knowledge retrieval, hybrid search, or agent orchestration frameworks.

Responsibilities

• Ship production agentic/LLM-based features with predictable cadence and measurable outcomes.
• Reduce technical debt and operational incidents while improving deployment velocity.
• Build and scale multiple high-performing engineering teams (hiring, mentoring, performance).
• Set engineering standards for inference, evaluation, monitoring, and observability for ML services.
• Partner with Product, Research, and GTM to prioritize use cases and turn prototypes into shipped features.

Benefits

• A competitive base pay
• Medical Benefits
• Discretionary incentive plan based on individual and company performance
• Focus on development: Access to a learning & development platform and opportunity for you to own your career pathways
• Flexible work policy

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: No Education Listed
• Number of Employees: 251-500 employees