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Information Technology 🏢 Full Time ⭐️ Verified

Senior Agentic AI Engineer

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are building the intelligent systems of tomorrow. Nexus Horizon Labs is seeking a visionary Senior Agentic AI Engineer to lead the development of next-generation autonomous agents. In this pivotal role, you will define the architecture for AI systems that operate with human-level reasoning, bridging the gap between generative models and actionable, real-world workflows.

Join a team of world-class researchers and engineers dedicated to pushing the boundaries of Artificial General Intelligence (AGI) applications. You will work on cutting-edge projects that define the technology stack for the year 2026 and beyond.

Responsibilities

  • Design and implement scalable architectures for autonomous AI agents and multi-agent systems.
  • Optimize Large Language Models (LLMs) for context retention, reasoning capabilities, and reduced hallucination rates.
  • Integrate complex tool use, function calling, and external API workflows into AI agents.
  • Conduct rigorous testing and evaluation of agent performance using synthetic data and human-in-the-loop feedback.
  • Mentor junior engineers and data scientists on best practices in prompt engineering and model fine-tuning.
  • Collaborate with product teams to translate complex AI capabilities into user-friendly features.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • 5+ years of experience in software engineering, with a strong focus on Machine Learning and AI.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Proven track record of working with LLMs (e.g., GPT, LLaMA, Claude) and RAG (Retrieval-Augmented Generation) pipelines.
  • Experience in designing APIs and microservices for AI model inference.
  • Strong understanding of prompt engineering and fine-tuning methodologies (LoRA, P-Tuning).
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and vector databases (Pinecone, Milvus, Weaviate).

Required Skills

Python Machine Learning Large Language Models PyTorch TensorFlow NLP Cloud Computing AI Agents RAG API Development Kubernetes Docker

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