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Artificial Intelligence 🏢 Full Time ⭐️ Verified

Senior AI Engineer

2026 Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to shape the future of Artificial Intelligence? 2026 Technologies is seeking a visionary Senior AI Engineer to join our elite engineering team.

We are building the operating system for the next generation of autonomous AI agents. In this role, you will not just write code; you will architect the infrastructure that powers systems capable of reasoning, planning, and executing complex tasks in the real world.

At 2026 Technologies, we value innovation, speed, and impact. You will work directly with world-class researchers and engineers to push the boundaries of what is possible with Large Language Models (LLMs) and Multi-Agent Systems.

Responsibilities

  • Design, develop, and deploy scalable machine learning models and AI agents using Python and modern deep learning frameworks.
  • Optimize model inference latency and throughput for high-traffic production environments.
  • Collaborate with cross-functional teams (Research, Product, Engineering) to translate cutting-edge research into production-ready features.
  • Implement robust MLOps pipelines for model training, evaluation, and automated deployment.
  • Conduct code reviews and mentor junior engineers to maintain high engineering standards.
  • Research and evaluate new techniques in NLP, reinforcement learning, and agentic workflows.

Qualifications

  • PhD or Master's degree in Computer Science, Machine Learning, or a related quantitative field (or equivalent practical experience).
  • 5+ years of professional experience in software engineering with a focus on AI/ML.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven experience working with Large Language Models (GPT-4, Llama, Claude) and fine-tuning methodologies (PEFT, LoRA, QLoRA).
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and ability to thrive in a fast-paced, ambiguous startup environment.

Required Skills

Python PyTorch TensorFlow LLM Large Language Models MLOps Machine Learning Deep Learning NLP AWS Docker Kubernetes Reinforcement Learning

Ready to Take This Challenge?

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