Senior Innovation Software Engineer

Senior Innovation Software Engineer

Genesis10 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, 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, 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, LangGraph, 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 workstreams from concept to execution
• Clear, structured verbal and written communication skills; collaborative and proactive working style

Desired Skills:

• Strong full-stack experience across backend applications, APIs, integrations, and functional UI development
• Experience desi