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Information Technology 🏢 Full Time ⭐️ Verified

Future-Ready AI Engineer | 2026 Tech Vision

Nexus Horizon Systems
Austin
Estimated Salary
USD 140.000 – USD 210.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Are you ready to architect the technological landscape of 2026? Nexus Horizon Systems is seeking a visionary Future-Ready AI Engineer to lead the integration of next-generation Artificial Intelligence into our core product suite.

In this pivotal role, you won't just be writing code; you will be defining the paradigm of human-machine collaboration. We are looking for a technical polymath who combines deep engineering rigor with a passion for AI innovation. Join us as we bridge the gap between current capabilities and the future of technology.

Why Join Us?

  • Pioneering Work: Work on cutting-edge projects that will define the 2026 tech landscape.
  • Competitive Compensation: Earn between $140k and $210k depending on experience.
  • Flexible Environment: Hybrid model based in our Austin headquarters.

Responsibilities

  • Architect Next-Gen Solutions: Design and implement scalable AI-driven architectures that prepare our infrastructure for the demands of 2026.
  • Model Integration: Integrate Large Language Models (LLMs) and generative AI agents into user-facing applications seamlessly.
  • System Optimization: Optimize data pipelines and vector databases to ensure low-latency, high-reliability performance.
  • Technical Leadership: Mentor junior engineers and establish coding standards for AI engineering practices.
  • R&D Strategy: Research and prototype emerging technologies to keep our stack ahead of the curve.

Qualifications

  • Experience: 5+ years of professional software engineering experience with at least 2 years specifically in AI/ML integration.
  • Technical Stack: Proficiency in Python, TypeScript, and modern frameworks (React, FastAPI, TensorFlow).
  • AI Expertise: Deep understanding of NLP, Transformers, and vector embeddings.
  • Problem Solving: Ability to tackle complex, unstructured problems using algorithmic approaches.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).

Required Skills

Python TypeScript Artificial Intelligence Machine Learning LLM System Architecture Vector Databases React FastAPI

Ready to Take This Challenge?

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