Brooklyn , OH
|Remote
|Contract
Brooklyn, OH
|Remote
|Contract
We’re looking for a Senior Full Stack & GenAI Developer to help design, build, and deliver innovative enterprise applications in a remote environment. This role combines hands-on full stack development, cloud infrastructure, and advanced AI engineering to support fast-moving business needs with scalable, production-ready solutions.
Responsibilities
- Partner with stakeholders to translate business requirements into technical designs, system architecture, and data flow solutions.
- Build proof-of-concepts quickly to validate ideas, demonstrate value, and support decision-making.
- Own end-to-end application development across backend services, frontend interfaces, APIs, infrastructure, and deployment workflows.
- Develop high-performing applications that handle large datasets and support reliable, low-latency user experiences.
- Create integrations with enterprise systems, identity services, and shared platforms used across the organization.
- Use AI-assisted development tools to improve speed, quality, and development efficiency.
- Design and implement agentic AI solutions, including multi-agent workflows, orchestration patterns, tool integration, and memory strategies.
- Support production readiness activities, including change management processes and coordination with infrastructure, security, and platform teams.
- Contribute to deployment planning and release execution in a large enterprise environment.
Skills
- Strong hands-on experience building enterprise applications from the ground up.
- Advanced Python development skills, especially with FastAPI or Flask.
- Experience with React, Next.js, JavaScript, TypeScript, HTML5, CSS3, and utility-first styling frameworks such as Tailwind CSS.
- Solid understanding of RESTful API design and service integration.
- Experience with Google Cloud technologies such as Cloud Run, Cloud Functions, BigQuery, Cloud SQL, Cloud Storage, IAM, and networking fundamentals.
- Background in Terraform, GitLab repositories, GitLab CI/CD, and deployment automation.
- Knowledge of data performance, query tuning, caching, and asynchronous processing.
- Hands-on experience with LLMs, prompt engineering, retrieval-augmented generation, and agentic AI frameworks.
- Ability to work independently, solve complex problems, and collaborate across technical and business teams.
- Experience navigating enterprise processes and production governance in a structured environment.
Preferred Skills
- Experience with Google ADK, LangGraph, CrewAI, or similar agentic AI frameworks.
- Familiarity with Vertex AI, Gemini, OpenAI APIs, or comparable GenAI platforms.
- Exposure to APIGEE, Okta, Active Directory group management, and RBAC patterns.
- Experience working in regulated or large enterprise environments.
- Comfort with cross-functional collaboration across cloud, security, infrastructure, DevOps, and data teams.
- Familiarity with ServiceNow change requests and release coordination.
- Strong curiosity for emerging AI tools, frameworks, and development patterns.
- A proactive, solution-oriented mindset with strong communication and ownership.
Horizontal is committed to fostering an inclusive and welcoming environment where people of all backgrounds can thrive. We value diverse perspectives, equitable opportunities, and a collaborative culture that helps every team member contribute their best work.
By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.Horizontal is committed to taking affirmative action to employ and advance in employment qualified individuals with disabilities and protected veterans. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or participate in the interview process, click here to request accommodation assistance.
All applicants applying must be legally authorized to work in the country of employment.