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Artificial Intelligence 🏢 Full Time ⭐️ Verified

Senior AI Engineer: Next-Gen Systems (2026 Focus)

Nexus Future Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

We are seeking a visionary Senior AI Engineer to lead the development of our flagship autonomous systems for the 2026 roadmap. At Nexus Future Technologies, we are building the infrastructure for the next generation of intelligent agents. You will be at the forefront of integrating Large Language Models (LLMs) with autonomous action frameworks, creating systems that don't just generate text but execute complex workflows.

Why Join Us?

  • Future-Proof Role: Work on cutting-edge Agentic AI and autonomous decision-making systems.
  • Top-Tier Compensation: Competitive salary and equity package.
  • Impact: Your code will power the next evolution of enterprise automation.

Responsibilities

  • Architect and deploy scalable Agentic AI systems capable of autonomous task execution.
  • Optimize LLM inference pipelines for high-throughput, low-latency environments.
  • Develop and fine-tune specialized models for niche domain reasoning.
  • Implement advanced RAG (Retrieval-Augmented Generation) architectures to enhance data accuracy.
  • Collaborate with cross-functional teams to integrate AI capabilities into production applications.
  • Conduct rigorous testing and evaluation of AI model performance and safety.

Qualifications

  • 5+ years of experience in Software Engineering and Machine Learning.
  • Expert proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).
  • Experience with LangChain, LlamaIndex, or similar agent orchestration tools.
  • Strong understanding of vector databases (Pinecone, Milvus, Weaviate).
  • Experience deploying models on cloud infrastructure (AWS, GCP, or Azure).
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow LangChain LLMs RAG Vector Databases AWS Docker Kubernetes Machine Learning Deep Learning

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