Forward Deployed Engineer (AI/GCP)

TL;DR

Forward Deployed Engineer (AI/GCP): Building and deploying production-grade agentic AI solutions and RAG pipelines for enterprise customers on Google Cloud with an accent on Vertex AI and Gemini. Focus on architecting multi-agent systems, integrating LLMs into complex enterprise environments, and optimizing evaluation pipelines.

Location: Remote (United States)

Salary: $125,000 - $225,000 USD

Company

hirify.global is an experience innovation company partnering with recognized global brands to drive digital transformation through data, AI, and technology.

What you will do

• Embed within customer engineering teams to translate ambiguous business problems into clear AI architectures and delivery plans.
• Architect, code, and ship production-grade agentic AI solutions on GCP, including multi-agent systems, MCP servers, and safety guardrails.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines, including chunking strategies and vector database optimization.
• Build the connective tissue between Google AI products and customer infrastructure, including APIs and legacy data silos.
• Implement multi-agent patterns such as ReAct and hierarchical delegation using frameworks like ADK or LangGraph.
• Build high-performance evaluation pipelines and observability frameworks for agentic systems.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• 5+ years of software development experience using Python or TypeScript.
• Hands-on experience architecting AI systems on GCP (Vertex AI, Gemini, BigQuery, Cloud Run, Pub/Sub).
• Proven experience building and deploying LLM applications and RAG architectures in production.
• Experience deploying cloud resources via Terraform or similar IaC tools.
• Must be based in the United States and ability to travel up to 50% of the time to customer sites.

Nice to have

• Master’s degree or PhD in AI, Computer Science, or Machine Learning.
• Experience with LangGraph, CrewAI, or Google’s Agent Development Kit (ADK).
• Experience designing Model Context Protocol (MCP) servers and tool-calling protocols.
• Google Cloud Professional certifications (ML Engineer, Cloud Architect, or Data Engineer).
• Familiarity with full-stack development and REST/GraphQL API design.

Culture & Benefits

• Flexibility with remote and hybrid work options.
• Career advancement through international mobility and professional development programs.
• Access to cutting-edge tools, training, and industry experts.
• Comprehensive medical, dental, and vision insurance with employer contributions to HSA.