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Information Technology 🏢 Full Time ⭐️ Verified

AI-Native Full Stack Engineer (2026 Vision)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the digital landscape of 2026? Nexus Future Labs is on a mission to build the world's first autonomous, self-healing software ecosystem. We are looking for a visionary AI-Native Full Stack Engineer to bridge the gap between advanced machine learning models and seamless human interfaces.

In this role, you won't just be writing code; you will be engineering the cognitive layer of our applications. You will work with cutting-edge Large Language Models (LLMs) to create agentic workflows that learn, adapt, and optimize themselves in real-time.

Join us in shaping the future of interaction technology. If you thrive in ambiguity and are obsessed with performance and scalability, we want to meet you.

Responsibilities

  • Architect Agentic Workflows: Design and implement autonomous systems that leverage LLMs to perform complex, multi-step reasoning tasks without human intervention.
  • Predictive UI Development: Build dynamic, context-aware user interfaces that anticipate user intent before input is even provided.
  • Model Optimization: Fine-tune and optimize inference pipelines to ensure sub-millisecond latency for real-time AI interactions.
  • Self-Healing Systems: Develop monitoring and feedback loops that allow applications to detect and correct errors autonomously.
  • Data Governance: Establish rigorous data pipelines and privacy protocols to ensure the integrity of training data.

Qualifications

  • Experience: 5+ years of full-stack development experience, with at least 2 years specifically focused on AI/ML integration.
  • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • Technical Stack: Proficiency in Python, TypeScript, and modern frameworks (React, Next.js). Experience with vector databases (Pinecone, Milvus) is a plus.
  • AI Knowledge: Deep understanding of Transformer architectures, prompt engineering, and RAG (Retrieval-Augmented Generation) techniques.
  • Problem Solving: Demonstrated ability to tackle complex, ambiguous problems and deliver scalable solutions.

Required Skills

Python TypeScript React Next.js LLM Machine Learning Vector Databases System Design

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