Forward Deployed Engineer(Gemini APIs, Vertex AI, GCP,Python)

Vibehackers; Hinoba-an; On-site; PHP 600,000 - 1,000,000; Full time

Job summary

Vibehackers is seeking a Forward Deployed Engineer to design and deliver AI-powered prototypes, agentic workflows, and customer-facing solutions using Python, Gemini APIs, Vertex AI, and Google Cloud. You will work directly with customers to translate requirements into scalable AI architectures and production deployments.

The role focuses on building PoCs, accelerators, and integrations that demonstrate rapid value while staying current with emerging AI technologies and best practices.

Qualifications

• 4+ years hands-on Python, API development, and cloud-native app development.
• At least 2 years with Google Cloud Platform, Vertex AI, Gemini APIs, or similar AI platforms.
• Experience with prompt engineering, LLM app development, and AI solution implementation.
• Experience developing agentic AI workflows, AI agents, and orchestration frameworks.

Responsibilities

• Design and develop AI-powered prototypes, accelerators, and customer-facing solutions.
• Build and integrate applications using Gemini APIs, Vertex AI, and Google Cloud services.
• Develop agentic workflows, AI assistants, and multimodal solution demonstrations.
• Collaborate with customers, partners, and cross-functional teams to validate business use cases.
• Translate business requirements into scalable technical architectures and solutions.
• Build PoCs and demonstrate business value through rapid prototyping.
• Support deployment, optimization, and troubleshooting of AI solutions in cloud environments.
• Stay current with emerging AI technologies and apply them to customer scenarios.

Skills

Python programming

API development

Cloud-native app dev

Google Cloud Platform

Vertex AI

Gemini APIs

Prompt engineering

LLM application development

Agentic AI workflows

REST APIs

CI/CD

Containerization

Tools

Gemini APIs

Vertex AI

Google Cloud Platform

Job description

Fast prototyping with AI tools — building agentic AI, LLM applications, and demos using Gemini APIs and Vertex AI.

About the Role

Forward Deployed Engineer focused on designing and delivering AI-powered prototypes, agentic workflows, and customer-facing solutions using Python, Gemini APIs, Vertex AI, and Google Cloud. The role partners with customers and cross-functional teams to translate business requirements into scalable, production-ready AI architectures and integrations.

Job Description

Role

Forward Deployed Engineer responsible for designing and implementing AI-powered prototypes, solution accelerators, and customer-facing integrations using Python, Gemini APIs, Vertex AI, and Google Cloud Platform. Work directly with customers and cross-functional teams to translate business requirements into scalable AI architectures and production deployments.

Key Responsibilities

• Design and develop AI-powered prototypes, accelerators, and customer-facing solutions.
• Build and integrate applications using Gemini APIs, Vertex AI, and Google Cloud services.
• Develop agentic workflows, AI assistants, and multimodal solution demonstrations.
• Collaborate with customers, partners, and cross-functional teams to validate business use cases.
• Translate business requirements into scalable technical architectures and solutions.
• Build Proof of Concepts (PoCs) and demonstrate business value through rapid prototyping.
• Support deployment, optimization, and troubleshooting of AI solutions in cloud environments.
• Stay current with emerging AI technologies and apply them to customer scenarios.

Requirements

• Minimum 4 years hands-on experience in Python programming, API development, and cloud-native application development.
• At least 2 years experience with Google Cloud Platform, Vertex AI, Gemini APIs, or similar AI platforms.
• Experience with prompt engineering, LLM application development, and AI solution implementation.
• Experience developing agentic AI workflows, AI agents, and orchestration frameworks.
• Experience with REST APIs, microservices, and third-party system integrations.
• Experience with containerization, CI/CD, and production deployment practices.
• Strong stakeholder communication and customer-facing solutioning skills.

Preferred

• Hands-on experience with Gemini Enterprise and Gemini Enterprise for Customer Experience (GECX).
• Experience in the Telecommunications domain.
• Consulting mindset and strong communication skills.

Skills

API Development Cloud-native Application Development Prototype Development Solution Architecture Prompt Engineering LLM Application Development Agentic AI / Workflow Design REST API Design Microservices Containerization CI/CD Production Deployment Stakeholder Communication Customer-facing Solutioning Consulting Mindset Troubleshooting Cross-functional Collaboration