Senior Innovation Software Engineer

Title: Senior Innovation Software Engineer - Hybrid/Remote

Location: Columbus, OH,  Minnetonka, MN; Atlanta, GA: Dallas, TX; Detroit, MI; Chicago, IL; Charlotte, NC; Birmingham, AL; Tupelo, MS; Pittsburgh, PA; Cleveland, OH; Akron, OH, Cincinnati, OH.

Remote

Right to Hire

Job Description:

Job Description

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 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
• Strong hands-on development experience using modern programming languages and frameworks such as Java, Python, TypeScript/JavaScript, or similar
• Experience with containerization, CI/CD, cloud-native deployment patterns, and operating applications within enterprise environments
• Experience building automation solutions, including workflow engines, scripting, web automation, and system-to-system integrations
• Experience deploying applications within regulated or highly controlled environments, including exposure to VPC Service Controls (VPC-SC), private networking, DLP, secure coding practices, and application security
• Experience with AWS Bedrock, Azure OpenAI, or comparable AI platforms is beneficial when combined with demonstrated hands-on Google Cloud AI deployment experience
• Proven track record of delivering innovative solutions using emerging technologies, with focus on rapid experimentation, production implementation, and measurable outcomes

If you have the described qualifications and are interested in this exciting opportunity, please apply!

Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals.

For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10:

• Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years
• The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years
• Access to an experienced, caring recruiting team (more than 7 years of experience, on average)
• Behavioral Health Platform
• Medical, Dental, Vision
• Health Savings Account
• Voluntary Hospital Indemnity (Critical Illness & Accident)
• Voluntary Term Life Insurance
• 401K
• Sick Pay (for applicable states/municipalities)
• Commuter Benefits (Dallas, NYC, SF, and Illinois)

For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others.

Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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