Home Job Details
O
Information Technology 🏢 Full Time ⭐️ Verified

Senior Generative AI Engineer

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

Job Description

Are you ready to shape the future of artificial intelligence? Join OmniVerse Systems, a pioneer in next-generation digital solutions, as our Senior Generative AI Engineer. We are seeking a visionary technologist to lead the development of state-of-the-art Large Language Models (LLMs) and autonomous agents.

In this pivotal role, you will not just write code; you will architect the neural pathways of tomorrow. You will collaborate with world-class researchers and product leaders to deploy AI solutions that redefine user experiences and operational efficiency.

Responsibilities

  • Lead Model Development: Design, train, and fine-tune cutting-edge Generative AI models, including LLMs and diffusion models, to solve complex business problems.
  • Optimize Performance: Implement advanced inference optimization techniques to ensure low-latency, high-throughput AI deployments at scale.
  • System Architecture: Design robust MLOps pipelines using cloud-native technologies (AWS/Azure/GCP) to streamline the model lifecycle from experimentation to production.
  • Ethical AI: Establish and enforce rigorous guidelines for AI safety, fairness, and bias mitigation in all generated outputs.
  • Cross-Functional Collaboration: Partner with product managers and designers to translate complex AI capabilities into intuitive user interfaces and actionable business insights.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field; PhD preferred.
  • Experience: Minimum of 5+ years of professional experience in Machine Learning Engineering or AI Research, with a proven track record of deploying successful models.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Deep understanding of NLP and transformer architectures.
  • Tools: Experience with MLOps platforms (MLflow, Kubeflow) and containerization technologies (Docker, Kubernetes).
  • Problem Solving: Exceptional analytical skills with the ability to debug complex system issues and optimize performance bottlenecks.

Required Skills

Python PyTorch TensorFlow Machine Learning NLP MLOps AWS Docker Kubernetes Generative AI LLMs

Ready to Take This Challenge?

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

Apply Now

Related Jobs

Similar job recommendations for you

View All