Innovation Software Engineer - Hybrid or Remote

Genesis10 is a U.S. staffing firm providing contract, contract-to-hire, and permanent placement opportunities. The Innovation Software Engineer will design, build, and deploy AI-enabled applications and agentic solutions on Google Cloud using technologies such as Vertex AI and Gemini. The role includes developing interfaces, APIs, integrations, workflows, automations, and production deployment patterns while supporting security, governance, reliability, and observability.

Responsibilities:

• Develop and enhance prototypes, proof-of-concept applications, and production-ready solutions, including UI screens, backend services, APIs, agent workflows, integrations, and automation scripts
• Design and implement AI-enabled and agentic application features using Google Cloud technologies, including Vertex AI and Gemini
• Build and deploy agent-based solutions using frameworks such as Google ADK, Agent Engine, LangGraph, or equivalent technologies
• Deploy and operate AI-enabled applications and agent services using Google Cloud deployment patterns, ideally including Cloud Run, CI/CD, environment configuration, logging, monitoring, and observability
• Develop integrations with AI gateways or model-proxy layers supporting model routing, authentication, security controls, guardrails, and usage governance
• Implement grounding and Retrieval-Augmented Generation (RAG) patterns using technologies such as Vertex AI Search / Discovery Engine or comparable enterprise search and grounding capabilities
• Support model and AI-service governance, including token consumption, cost management, access controls, guardrails, and secure model usage
• Build and test integrations and workflow automations across systems to demonstrate business value and reduce manual effort
• Contribute to documentation, runbooks, and reusable implementation patterns to improve team speed and consistency
• Collaborate effectively across the team; able to iterate rapidly, communicate progress, proactively remove blockers, and contribute to technical decisions

Requirements:

• • Bachelor's degree in Computer Science, Information Technology, Engineering or a related technical field
• • 4+ years of experience in software engineering, application development, and innovative solution delivery
• • Hands-on Google Cloud application development experience with demonstrated experience deploying solutions within GCP
• • Production experience implementing AI-enabled applications using Vertex AI and Gemini; experience should extend beyond using Gemini or other GenAI tools solely as coding assistants
• • Hands-on experience building and deploying agentic or multi-agent solutions using frameworks such as Google ADK, Agent Engine, LangGraph, or comparable agent orchestration frameworks
• • Hands-on experience building software applications, APIs, integrations, and backend services; ability to independently drive initiatives with limited supervision
• • Experience deploying applications or AI services using cloud-native patterns, preferably including Google Cloud Run
• • Experience building UI screens and rapidly prototyping experiences using modern development tools, including AI-assisted development
• • Experience writing scripts and automations to connect systems and streamline processes
• • Comfort working in a fast-paced environment, progressing despite ambiguity and ability to independently lead development workstreams from concept to execution
• • Clear, structured verbal and written communication skills; collaborative and proactive working style
• • Only candidates available and ready to work directly as Genesis10 employees will be considered for this position
• • Experience designing or integrating with an AI gateway, LLM gateway, or model-proxy platform, including model routing, authentication, access controls, and guardrails
• • Experience implementing AI safety and security controls using Model Armor or comparable technologies
• • Experience managing token usage, model consumption, observability, and AI-related cost governance
• • Experience implementing grounding/RAG solutions using Vertex AI Search / Discovery Engine or comparable enterprise retrieval platforms
• • Experience deploying AI applications within regulated or highly controlled environments, including exposure to VPC Service Controls (VPC-SC), private networking, DLP, or similar security patterns
• • Hands-on experience developing applications and automation using one or more modern programming or scripting languages such as Java, Python, TypeScript/JavaScript, or similar
• • Experience with AWS Bedrock, Azure OpenAI, or other cloud AI platforms is beneficial when combined with demonstrated hands-on Google Cloud AI deployment experience
• • Strong collaboration and communication skills, ability to drive work proactively, and positive track record of reliability and delivery