Job Description
We are seeking a visionary Senior AI-First Full Stack Engineer to help us architect the digital infrastructure for the year 2026. As part of Nexus Horizon, you will be at the forefront of integrating Generative AI, autonomous agents, and next-generation cloud systems into scalable consumer applications.
In this role, you will not just write code; you will define the technical roadmap for a future where human and machine collaboration is seamless. You will work in a high-performance environment that values innovation, speed, and architectural excellence.
Why Join Us?
- Work on projects that define the standard for 2026 technology.
- Competitive compensation and equity package.
- Flexible remote-first culture with premium office amenities.
Responsibilities
- Architect Future-Ready Systems: Design and implement scalable microservices and APIs using modern stack technologies (React, Node.js, Python) optimized for AI integration.
- AI Integration: Integrate Large Language Models (LLMs) and autonomous agents into our core product workflows to enhance user experience and automation capabilities.
- Performance Optimization: Drive the technical strategy to ensure 99.99% uptime and sub-millisecond response times across global edge networks.
- Cross-Functional Leadership: Collaborate with product managers, designers, and data scientists to translate business requirements into robust technical solutions.
- Code Quality & Mentorship: Establish and enforce engineering best practices, conduct code reviews, and mentor junior developers to foster a culture of continuous learning.
Qualifications
- Experience: 7+ years of professional software development experience with a strong focus on Full Stack development.
- Frontend Mastery: Deep proficiency in modern JavaScript frameworks (React, Vue, or Angular) and TypeScript.
- Backend Expertise: Strong experience with Node.js, Python, or Go, and experience designing RESTful and GraphQL APIs.
- AI Knowledge: Familiarity with machine learning frameworks (TensorFlow, PyTorch) and experience integrating AI APIs (OpenAI, Anthropic) into production applications.
- Cloud Native: Proven experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Education: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.