Specialty Software Engineer

Description: Job Description - Full-Stack Software Engineer (Generative AI Focus)

About the Role

This is a highly technical, fast-paced environment where you will contribute directly to engineering deliverables and collaborate closely with cross-functional partners.

• 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 (Google Cloud Platform 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%+).

• 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 (Google Cloud Platform 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.

• 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)

• 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.

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Contact:

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