Senior Innovation Software Engineer - Hybrid​/Remote

Genesis
10 is currently seeking a Senior Innovation Software Engineer for a Contract-to-Hire opportunity. This position can work hybrid or can work remotely in the footprint locations of Columbus, OH;
Minnetonka, MN;
Atlanta, GA:
Dallas, TX;
Detroit, MI;
Chicago, IL;
Charlotte, NC;
Birmingham, AL;
Tupelo, MS;
Pittsburgh, PA;
Cleveland, OH;
Akron, OH and Cincinnati, OH. Compensation: $64.00 - $72.00 per hour, W2, based on qualifications + potential for bonus

Position Overview:

This role focuses on the high-velocity development of innovation solutions, with a strong emphasis on building and deploying AI-enabled and agentic applications within Google Cloud. The Senior Innovation Software Engineer will lead the development of applications, APIs, workflow automations, integrations, and agent-based solutions that demonstrate clear business value. This individual will partner closely across the Innovation team to develop end-to-end high-quality solutions using Vertex AI, Gemini, and modern agent frameworks while ensuring solutions are secure, testable, observable, and ready for broader reuse and production deployment.

Key Responsibilities:

Lead the development of prototypes, proof-of-concept solutions, and production-ready applications to validate new ideas and technologies, with emphasis on building working applications end-to-end Design and implement APIs, backend services, workflow automations, UI experiences, and agent-based solutions to support innovation use cases Build and deploy AI-enabled application capabilities using Google Cloud technologies, including Vertex AI and Gemini Design and implement agentic and multi-agent workflows using frameworks such as Google ADK, Agent Engine, Lang Graph, 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, monitoring, logging, and observability Design or integrate with AI gateways and model-proxy layers supporting model routing, authentication, access controls, guardrails, and model governance Implement grounding and Retrieval-Augmented Generation (RAG) solutions using Vertex AI Search / Discovery Engine or comparable enterprise retrieval and grounding technologies Support AI governance, including token usage, model consumption, cost management, access controls, security guardrails, and responsible model usage Experiment with, develop, and implement emerging technology solutions and translate them into working, scalable solutions Develop and maintain rapid development patterns for innovation solutions, including starter kits, reusable components, internal demos, and implementation playbooks Integrate solutions with enterprise systems as needed, including identity/access, data sources, eventing, internal services, and security controls, partnering with architecture and platform stakeholders Evaluate emerging tools and frameworks that improve engineering velocity, AI orchestration, security, reliability, and quality Operate with limited supervision, proactively defining tasks, making progress visible, and driving solutions from concept through deployment Primary Requirements:
Bachelor's degree in Computer Science, Information Technology, Engineering or a related technical field 8+ years of experience in software engineering, application development, and end-to-end innovative solution delivery Demonstrated hands-on software development experience building full-stack applications end-to-end such as APIs, back-end applications, and UIs Strong hands-on Google Cloud development experience with demonstrated experience deploying applications or AI 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, Lang Graph, or comparable agent orchestration frameworks Strong experience integrating models and AI services into production applications in a hands-on capacity Experience deploying cloud-native applications and AI services, preferably using Google Cloud Run Comfort working in a fast-paced environment, progressing despite ambiguity and ability to independently lead development work streams from concept to execution Clear, structured verbal and written communication skills;

collaborative…