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Artificial Intelligence 🏢 Full Time ⭐️ Verified

Future-Ready GenAI Architect (2026 Vision)

Apex Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Shape the Future of Intelligence in 2026

Apex Horizon Technologies is on a mission to redefine the boundaries of artificial general intelligence. We are seeking a visionary GenAI Architect to lead our research into next-generation Large Language Models (LLMs) and autonomous agents.

In this role, you won't just be maintaining systems; you will be architecting the infrastructure that powers the digital workforce of tomorrow. You will bridge the gap between theoretical AI research and scalable, production-ready enterprise solutions.

Why Join Us?

  • Impactful Work: Deploy models that solve real-world complex problems.
  • Future-Proofing: Work on the cutting edge of Agentic workflows and AI safety.
  • Top-Tier Compensation: Competitive salary and equity packages.

What You Will Do

As a key member of our R&D team, your responsibilities will include designing robust neural architectures, optimizing inference latency, and ensuring ethical AI deployment standards.

Responsibilities

  • Design & Build: Architect scalable neural networks and fine-tune foundation models using PyTorch and TensorFlow.
  • Agentic Systems: Develop autonomous AI agents capable of multi-step reasoning and tool use.
  • Optimization: Implement advanced quantization and distillation techniques to reduce model footprint without losing accuracy.
  • RAG Integration: Build robust Retrieval-Augmented Generation pipelines to enhance knowledge base accuracy.
  • Ethics & Safety: Implement guardrails and safety filters to mitigate bias and hallucinations.
  • Collaboration: Partner with data scientists and product managers to translate technical requirements into AI roadmaps.

Qualifications

  • Education: MS or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • Experience: 5+ years of professional experience in deep learning, specifically with LLMs (GPT, LLaMA, Claude).
  • Technical Skills: Proficiency in Python, C++, and distributed computing frameworks (Ray, Kubernetes).
  • Frameworks: Deep expertise in Hugging Face, LangChain, and Vector Databases (Pinecone, Milvus).
  • Problem Solving: Proven track record of solving complex optimization problems in high-scale environments.
  • Creativity: Ability to think outside the box and pioneer new approaches to generative tasks.

Required Skills

Python PyTorch TensorFlow LLMs GPT-4 Fine-tuning RAG Vector Databases Kubernetes Ray Hugging Face Ethics in AI

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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