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Gen AI Developer with Google Cloud Platform AND Python

I-Link SolutionsSunnyvale, CA🇺🇸United StatesPosted 15 Sept 2026

Why This Role Stands Out

Develop cutting-edge generative AI applications and architect robust cloud solutions on Google Cloud Platform using your Python expertise, enjoying the flexibility of a hybrid work environment. This role is perfect for experienced developers who thrive on building impactful AI systems and collaborating with expert teams to drive innovation for clients. Join a dynamic company and elevate your career in the exciting field of AI.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Sunnyvale, CA, United States
Posted
Yesterday
Google CloudPython

Job Description

Gen AI Developer with Google Cloud Platform AND Python

Locations: Mountain View, Sunnyvale, San Francisco, Los Angeles, Irvine, San Bruno, San Jose, Palo Alto, Redwood City, Culver City, San Diego

JOB RESPONSIBILITIES:
Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable ROI.
Architect and code the "connective tissue" between clients AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
Identify repeatable field patterns and friction points in client AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
Co-build with customer engineering teams to instill client grade development best practices, ensuring long-term project success and high end-user adoption.

MINIMUM QUALIFICATIONS:
Bachelor s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
5 years of experience with software development using Python or similar coding languages.
Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform).
Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
Experience taking production-grade AI-driven solutions from conception to launch for customers.
Experience leading technical discovery sessions with customers.

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