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Lead AI/AGI Engineer: Project 2026

OmniCorp Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join the Architects of Tomorrow

We are seeking a visionary Lead AI/AGI Engineer to spearhead Project 2026, our groundbreaking initiative to deploy self-evolving autonomous agents capable of complex reasoning and real-world interaction by the turn of the decade. You will be at the forefront of defining the infrastructure for the next generation of artificial intelligence.

Why Join Us?

  • Work on cutting-edge Project 2026 technologies that will define the AI landscape in the coming years.
  • Competitive compensation package including equity and performance bonuses.
  • Flexible remote-first policy with quarterly team off-sites in tech hubs.

At OmniCorp, we believe that 2026 is not just a year on the calendar, but a milestone for human-machine symbiosis. If you are ready to build the systems that will run the future, we want to hear from you.

Responsibilities

  • Architect and implement scalable inference pipelines for next-generation Large Language Models (LLMs) and Multimodal Agents.
  • Optimize model performance for low-latency, high-throughput environments using Rust and C++.
  • Design robust evaluation frameworks to measure the safety and reliability of autonomous agents.
  • Collaborate with cross-functional teams to integrate Project 2026 systems into consumer and enterprise applications.
  • Pioneer research in Reinforcement Learning from Human Feedback (RLHF) and Chain-of-Thought reasoning.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
  • 5+ years of professional experience in AI/ML engineering, with at least 2 years in a leadership capacity.
  • Deep expertise in PyTorch, TensorFlow, or JAX.
  • Experience deploying models in production using Kubernetes and Docker.
  • Strong background in distributed systems and high-performance computing.

Required Skills

Python PyTorch Rust Kubernetes Docker LLMs Transformers RLHF Distributed Systems GPU Computing Machine Learning Engineering

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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