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Information Technology 🏢 Full Time ⭐️ Verified

Senior Agentic AI Engineer - The Future of Intelligence

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

The Opportunity:

Join Nexus Horizon AI as we architect the operating system for the year 2026. We are building the next generation of autonomous agents that bridge the gap between human intent and machine execution. As a Senior Agentic AI Engineer, you will lead the development of self-improving, multi-agent systems designed to revolutionize enterprise workflows.

Why Join Us?

Work on the bleeding edge of Generative AI and Autonomous Systems. We offer competitive equity, a fully remote-first culture, and the chance to shape the future of work.

Responsibilities

  • Architect Agentic Workflows: Design and implement scalable multi-agent architectures capable of complex, sequential reasoning and autonomous task execution.
  • LLM Orchestration: Lead the integration and optimization of Large Language Models (LLMs) to drive context-aware decision-making in real-time applications.
  • Pipeline Optimization: Build high-performance inference pipelines and fine-tuning strategies to reduce latency and enhance model accuracy.
  • Research & Innovation: Stay ahead of the curve in emerging AI paradigms, including Reinforcement Learning from Human Feedback (RLHF) and Chain-of-Thought prompting.
  • Product Integration: Collaborate closely with product and engineering teams to translate complex AI capabilities into intuitive user experiences.
  • Ethical AI Governance: Ensure all deployed agents adhere to strict safety guidelines, bias mitigation protocols, and data privacy standards.

Qualifications

  • Education: MS or PhD in Computer Science, Machine Learning, or a related technical field.
  • Experience: 5+ years of professional experience in AI/ML engineering, with a strong focus on LLMs and Generative AI.
  • Technical Stack: Proficiency in Python, PyTorch or TensorFlow, and experience with LangChain or LlamaIndex.
  • System Design: Demonstrated ability to design robust, distributed systems that handle high-throughput data processing.
  • Creative Problem Solving: Proven track record of solving ambiguous, complex engineering problems in innovative ways.
  • Communication: Excellent verbal and written communication skills for technical storytelling and cross-functional leadership.

Required Skills

Python PyTorch Large Language Models (LLMs) Generative AI LangChain Machine Learning Engineering System Design NLP

Ready to Take This Challenge?

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