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Senior Agentic AI Engineer - Shaping the Future of 2026

OmniStream Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join the Visionaries at OmniStream Systems as we pioneer the next generation of autonomous intelligence. We are looking for a Senior Agentic AI Engineer to architect the core systems that will define the landscape of 2026 and beyond. In this high-impact role, you will bridge the gap between theoretical AI research and scalable production engineering, building autonomous agents capable of complex reasoning and decision-making.


Why Join Us?

At OmniStream, we don't just predict the future; we build it. You will work with a world-class team of researchers and engineers in the heart of Silicon Valley. We offer a competitive compensation package, flexible remote options, and the opportunity to ship products that millions will use.

Responsibilities

  • Design & Architect: Design and implement robust, scalable architectures for autonomous AI agents using state-of-the-art LLMs and multi-agent frameworks.
  • System Optimization: Optimize inference pipelines and reduce latency for real-time decision-making applications.
  • Research Implementation: Translate cutting-edge academic research into production-ready code, specifically focusing on agentic workflows and tool use.
  • Collaboration: Partner with product managers and data scientists to define product requirements and technical roadmaps.
  • Mentorship: Mentor junior engineers and conduct code reviews to maintain high engineering standards across the team.

Qualifications

  • Experience: 5+ years of professional software engineering experience, with at least 2 years specifically focused on Artificial Intelligence or Machine Learning.
  • Technical Skills: Strong proficiency in Python, PyTorch, or TensorFlow; deep understanding of LLMs (Hugging Face, OpenAI API, Anthropic).
  • Framework Expertise: Extensive experience building agentic systems using LangChain, LangGraph, or similar orchestration frameworks.
  • Problem Solving: Demonstrated ability to solve complex, ambiguous problems in a fast-paced startup environment.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field (Master’s degree preferred).

Required Skills

Python LLM Machine Learning Agentic AI LangChain PyTorch TensorFlow System Design Kubernetes Cloud Computing (AWS/GCP)

Ready to Take This Challenge?

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