Full-Stack Software Engineer (Generative AI Focus)
Location: Columbus, OH (Primary) Dallas, TX or Charlotte, NC (Exceptional candidates)
Work Model: Hybrid - 3 days onsite
Duration: 12-month contract (with potential for conversion)
About the Role
We are seeking a hands-on Full-Stack Software Engineer to join our rapidly growing engineering team focused on building foundational Generative AI capabilities for cybersecurity solutions. In this role, you'll design, build, and deploy enterprise-grade applications and end-to-end GenAI integrations, working across both UI and backend systems. This is a highly technical, fast-paced environment where you will contribute directly to engineering deliverables and collaborate closely with cross-functional partners.
Candidates must be self-driven, comfortable iterating quickly, and capable of working independently in a hybrid onsite model.
Key Responsibilities
Design, build, and maintain full-stack applications, including APIs, services, and user interfaces.
Develop single-page applications using modern frameworks and robust backend services in Python and Java.
Architect and implement generative AI solutions using frameworks such as LangChain, LangGraph, OpenAI Agent frameworks, and ADK.
Deploy and manage applications in cloud environments (GCP preferred; other clouds accepted).
Analyze complex engineering challenges and contribute to scalable, secure, high-performance solution designs.
Collaborate with engineering partners and cybersecurity stakeholders to deliver high-impact features.
Contribute to iterative development cycles; quickly adapt to evolving requirements.
Operate as an individual contributor with a strong hands-on coding focus (80%+). Minimum Qualifications
7-10 years of professional full-stack engineering experience (mid-senior, hands-on).
5+ years building enterprise-grade applications with strong attention to scalability, performance, and security.
5+ years developing single-page applications using:
Python, Java
JavaScript / TypeScript
React.js, Next.js, Tailwind, Bootstrap, or similar frameworks
2+ years of hands-on generative AI development using tools such as:
LangChain, LangGraph
OpenAI Agent Frameworks
ADK or similar toolkits
2+ years deploying AI or application workloads on public cloud environments (GCP preferred; AWS/Azure acceptable).
Strong problem-solving ability with demonstrated experience learning emerging technologies quickly.
Ability to work onsite 3 days/week in one of the approved locations. Nice to Have
Cloud integration expertise
Experience with OpenShift
Experience migrating legacy applications to modern technology stacks
Strong code-generation guardrail practices (validation, triggers, testing)
Military background (acceptable but not required) Additional Notes
The team is recently established and rapidly scaling.
Candidates must be proactive, self-motivated, and comfortable in a dynamic environment.
Past challenges included applicants being too senior/architectural; this role requires deep hands-on engineering.
Relocation may be considered but candidates must reliably meet hybrid attendance requirements.