GenAI Platform Engineer - AI/ML, Hybrid Work

Aimlroles; San Mateo (CA); Hybrid; USD 114,000 - 202,000; Full time

Benefits offered by this job

Hybrid work options

Health and wellness benefits

Paid time off including volunteering

Retirement plan

Job summary

Guidewire in San Mateo, CA is seeking a software engineer to help build large-scale GenAI capabilities. You will design and deploy scalable microservices and APIs powering AI across core solutions, collaborating with ML engineers to operationalize models from providers like OpenAI and Anthropic.

The role requires 5+ years in software engineering, proficiency in Python/TypeScript/JavaScript, cloud and container tech (AWS, Docker, Kubernetes), and experience with MCP, LLM APIs, and API design.

Qualifications

• 5+ years of software engineering experience with AI/ML exposure.
• Proficiency in Python, TypeScript or JavaScript, with strong coding skills.
• Hands-on with AWS, Docker and Kubernetes, plus API design.
• Experience with MCP servers, LLM orchestration, and OpenAI/Anthropic APIs.

Responsibilities

• Design, build, and maintain scalable microservices and APIs powering AI.
• Develop GenAI pipelines using LangChain, LlamaIndex, MCP integrations.
• Collaborate with ML engineers to operationalize models from OpenAI, Anthropic.
• Design and deploy ML models for predictive insights and automated decisions.
• Extend MCP servers for tool interactions and multi-LLM workflows.

Skills

Python

TypeScript

JavaScript

AWS

Docker

Kubernetes

OpenAI API

LLM APIs

API design

MCP servers

Education

BS in Computer Science or related field

Tools

PostgreSQL

DynamoDB

LangChain

LlamaIndex

LangGraph

Job description

Guidewire in San Mateo, CA is seeking a software engineer to help build large-scale GenAI capabilities. You will design and deploy scalable microservices and APIs powering AI across core solutions, collaborating with ML engineers to operationalize models from providers like OpenAI and Anthropic.

The role requires 5+ years in software engineering, proficiency in Python/TypeScript/JavaScript, cloud and container tech (AWS, Docker, Kubernetes), and experience with MCP, LLM APIs, and API design.