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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Agent Architect

Synthetix Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to build the software systems of 2026? Synthetix Future Labs is seeking a visionary Senior AI Agent Architect to lead the charge in autonomous intelligent systems.

In this pivotal role, you won't just be writing code; you will architect the brain of next-generation AI agents capable of complex reasoning and autonomous decision-making. Join a team that is redefining the boundaries of Artificial Intelligence to create scalable, secure, and impactful solutions.

Why join us? We offer a competitive equity package, top-tier benefits, and the opportunity to work on cutting-edge projects that will shape the future of human-AI interaction.

Responsibilities

  • Design and implement scalable multi-agent architectures using LLMs and orchestration frameworks like LangChain and AutoGen.
  • Optimize prompt engineering strategies to maximize agent accuracy, reduce hallucinations, and ensure robustness.
  • Collaborate with product teams to translate complex AI capabilities into intuitive, user-centric features.
  • Establish best practices for model evaluation, continuous monitoring, and security in production environments.
  • Pioneering research into emergent AI behaviors relevant to the 2026 tech landscape.
  • Mentor junior engineers and foster a culture of technical excellence and innovation.

Qualifications

  • 5+ years of experience in software engineering with a focus on AI/ML or machine learning infrastructure.
  • Deep understanding of Large Language Models (LLMs), fine-tuning, and RAG (Retrieval-Augmented Generation).
  • Proficiency in Python and modern web frameworks (FastAPI, Flask, or React).
  • Experience with vector databases and embedding technologies.
  • Strong problem-solving skills and the ability to work in a fast-paced, agile environment.
  • Excellent communication skills to bridge the gap between technical and non-technical stakeholders.

Required Skills

Python Machine Learning AI LLM LangChain NLP Data Structures Cloud Computing Docker Kubernetes

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