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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer - Agentic AI

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to engineer the future of intelligence? Nexus Future Systems is seeking a visionary Senior AI/ML Engineer to spearhead our Agentic AI initiatives. As a leader in next-generation autonomous systems, we are building the infrastructure that will power the AI revolution of 2026 and beyond. In this role, you will design and deploy cutting-edge Large Language Models (LLMs) and multi-agent systems that solve complex, real-world problems.

Why Join Us?

  • Work on state-of-the-art AI architectures.
  • Competitive compensation and equity package.
  • Flexible remote-first culture.

Don't miss this chance to define the roadmap of autonomous AI.

Responsibilities

  • Design, train, and optimize advanced machine learning models, specifically focusing on LLMs and Reinforcement Learning from Human Feedback (RLHF).
  • Architect scalable, high-performance MLOps pipelines for model training, fine-tuning, and deployment.
  • Lead a team of junior engineers and data scientists in researching novel algorithms for autonomous agent behavior.
  • Collaborate closely with product managers to translate technical requirements into robust, user-centric AI features.
  • Monitor model performance in production environments and implement continuous improvement strategies.
  • Stay ahead of industry trends in AI research and apply best practices to our codebase.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related technical field (or equivalent practical experience).
  • 5+ years of professional experience in building and deploying ML models in production.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Strong understanding of NLP, LLM architectures (Transformers), and prompt engineering.
  • Experience with vector databases (Pinecone, Weaviate) and RAG (Retrieval-Augmented Generation) systems.
  • Demonstrated ability to lead cross-functional projects and mentor junior talent.

Required Skills

Python PyTorch TensorFlow MLOps LLMs NLP Machine Learning Deep Learning RAG AWS GCP

Ready to Take This Challenge?

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