This role is eligible for our hybrid work model: Two days in-office.

The Global Platform Engineering platform team within the Data & AI/ML product
group powers Priceline’s most strategic initiatives by providing secure,
scalable, and governed access to data, machine learning, and GenAI. We build the
core platforms that enable self-service development and deliver reliable,
enterprise-ready solutions. If you enjoy working at the intersection of platform
engineering and AI/ML at scale, this team offers a high-impact setting.

Why this job’s a big deal:

As Priceline scales personalization, AI-driven optimization, and intelligent
automation, a modern platform for data and AI/ML is mission-critical. You’ll
help build the foundational systems that enable self-service AI-powered software
engineering, data engineering, MLOps/LLMOps, and GenAI workloads, while
democratizing access to trusted data and models. Your work will directly
accelerate innovation across every product and business team at Priceline.

In this role you will get to:





Build AI-Powered Platform Frameworks and Tooling

* Build AI-powered Python apps and internal platform tooling deployed to GKE
K8s clusters with GitOps-based deployment workflows with GitHub Actions,
ArgoCD and Codefresh. Leverage Istio gateways and service mesh patterns for
traffic management.

* Improve developer productivity around GenAI usage by providing standardized
templates, self-serve workflows, and reusable tooling around AI/ML workloads.
This includes tooling built using popular GenAI frameworks such as LangChain,
LangGraph, etc. as well as retrieval-augmented generation (RAG) and
agent-based application patterns.

* Collaborate on building guardrails and observability frameworks for
LLMs—covering evaluation (evals), prompt management, safety, and cost
optimization. Develop scalable evaluation pipelines for LLM-based agents and
integrate monitoring tools (e.g., Arize, LangSmith, LiteLLM). Contribute to
frameworks enabling secu

📌 ML Engineer (Mumbai)
🏢 Priceline
📍 Mumbai