Senior Innovation Software Engineer - Hybrid or Remote

Genesis10; Columbus (OH); Hybrid; USD 88,000 - 99,000; Full time

Benefits offered by this job

Health Insurance

401K

Commuter Benefits

Sick Pay

Hospital Indemnity

Job summary

Genesis10 is seeking a Senior Innovation Software Engineer to lead the rapid development of AI-enabled, Google Cloud–based applications. You will drive end-to-end solutions, APIs, and agent-based workflows, partnering with cross-functional teams to deliver secure, observable, and scalable software.

The role emphasizes Vertex AI, Gemini, and modern agent frameworks, with hybrid/remote options within the US footprint. Strong communication and production-grade delivery are essential.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering or related field
• 8+ years of software engineering experience
• Hands-on experience building full-stack applications (APIs, back-end, UI)
• Strong Google Cloud development experience deploying apps/AI in GCP
• Production AI apps using Vertex AI and Gemini; not just a coding assistant
• Hands-on agent-based solutions using Google ADK, Agent Engine, LangGraph
• Experience integrating models into production apps; cloud-native deployments
• Clear, structured communication and collaborative work style

Responsibilities

• Lead prototypes, PoCs and production apps end-to-end
• Design and implement APIs, backend services, workflows, UIs, and agent-based solutions
• Build AI-enabled capabilities with Vertex AI and Gemini
• Develop agentic workflows using Google ADK, Agent Engine, LangGraph
• Deploy AI apps with Cloud Run, CI/CD, monitoring and observability
• Integrate with enterprise systems for identity, data, events and security controls
• Evaluate new AI tools to improve velocity, security and quality
• Own development workstreams from concept to deployment

Skills

Full-stack Dev

GCP Experience

AI Deployment

Agent Workflows

CI/CD

Security Guardrails

Observability

Education

Bachelor's degree in CS/IT/Engineering

Tools

Vertex AI

Gemini

Google ADK

LangGraph

Cloud Run

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

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)

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.