Senior Developer – Generative AI

e360

Generative AI Developer designing and deploying applications on Google Cloud for e360. Focus on innovative solutions leveraging Python and GCP services.

Posted 7/17/2026contractIrvine • California • 🇺🇸 United StatesSenior💰 $80 - $90 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying Generative AI applications on Google Cloud, with a strong focus on integrating advanced AI models and building robust data pipelines. Proficient in utilizing Google Cloud services and tools to create scalable, secure, and efficient solutions.

Highest-signal resume keywords

Google Cloud Application DevelopmentGenerative AI SolutionsPython DevelopmentAPI Development with FastAPICI/CD and Automated Testing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonGoogle CloudGenerative AIGoogle Agent Development KitVertex AIBigQueryREST APIsSQLDockerInfrastructure as Code

Soft Skills

Problem-SolvingCollaborationTechnical Guidance

Tools & Technologies

Agent EngineCloud RunGKECloud FunctionsDocument AISecret ManagerIAM

Industry Keywords

MicroservicesEvent-Driven ArchitectureData PipelinesMCP IntegrationsAsynchronous Processing

Tech Stack

Tools & technologies

BigQueryCloudDockerGoogle Cloud PlatformMicroservicesPythonSQL

About the role

Key responsibilities & impact

Design, build, test, and deploy Generative AI applications and intelligent agents on Google Cloud
Develop single-agent and multi-agent solutions using Google Agent Development Kit
Integrate Gemini models with enterprise APIs, databases, applications, and business workflows
Deploy AI applications using Agent Engine, Cloud Run, GKE, or other appropriate GCP services
Build Retrieval-Augmented Generation solutions using services such as BigQuery, Vertex AI Vector Search, Cloud Storage, and Document AI
Develop APIs, microservices, agent tools, MCP integrations, and event-driven workflows
Build data pipelines to ingest, transform, chunk, embed, index, and retrieve structured and unstructured data
Implement session management, memory, tool calling, human approval, and agent orchestration patterns
Apply automated testing, CI/CD, logging, monitoring, tracing, evaluation, and cost-management practices
Implement Google Cloud security using IAM, service accounts, Workload Identity Federation, Secret Manager, and private networking
Troubleshoot issues across agents, models, APIs, data pipelines, integrations, security, and cloud deployments
Create architecture diagrams, technical designs, API specifications, deployment guides, and operational documentation
Own technical workstreams and provide design reviews, code reviews, and guidance to other developers
Participate in client discovery, architecture, testing, deployment, and knowledge-transfer activities.

Requirements

What you’ll need

Significant experience developing and deploying applications on Google Cloud
Advanced Python development experience
Hands-on experience building Generative AI or agentic applications
Experience with Google Agent Development Kit, including agents, tools, workflows, sessions, state, and multi-agent patterns
Experience integrating Gemini models using Vertex AI or Google Gen AI SDKs
Experience with Agent Engine, Cloud Run, GKE, Cloud Functions, or similar GCP runtimes
Experience designing and implementing RAG solutions
Experience with BigQuery and Google Cloud data services
Experience building APIs using frameworks such as FastAPI
Experience with REST APIs, asynchronous processing, event-driven architecture, and microservices
Understanding of MCP and its use in connecting agents to enterprise tools and systems
Experience with SQL, document stores, object storage, embeddings, semantic search, or vector databases
Experience with Git, automated testing, CI/CD, Docker, and infrastructure as code
Understanding of Google Cloud IAM, service accounts, Secret Manager, networking, logging, and monitoring
Ability to evaluate tradeoffs involving model quality, latency, security, scalability, reliability, and cost.

Benefits

Comp & perks

internal and subsidized external trainings
reimbursement for technology certification exams and/or renewals
work life fit as a core value