Careers

We are a next generation collaboration platform that unites AI agents and humans to revolutionize the way enterprises work, innovate, and thrive.

Our Values

Focus on Quality
Innovative Spirit
Customer-first Approach
Continuous Learning
Exceptional Work Ethics
Intellectual Curiosity

Current Openings

AIOps/LLMOps Engineer

· Full-time · Senior

About The Position


Position: AIOps/LLMOps Engineer

 

Location: Remote (San Francisco Bay Area is a plus)

 

Company Overview:

We envision a future where billions of highly intelligent AI assistants become the new workforce, managing knowledge-based tasks while humans concentrate on strategic direction and creative innovation. This monumental shift will trigger an exponential surge in GDP and revolutionize the software industry as we know it. We believe that assistants will become the sole interface between humans and data, creating a radical transformation in the enterprise (no) software future. This is precisely where Wand steps in. We are at the forefront of creating the first personalized and diversified intelligent AI system, redefining the paradigm of human-machine collaboration in the enterprise landscape.

Position Summary:

As an AI/LLM Ops Engineer, you will be responsible for ensuring the smooth operation and deployment of custom large language models (LLMs) across our platform. You will have a deep understanding of LLM infrastructure, from fine-tuning and inference pipelines to model training and optimization. This is a rare and highly sought-after role where you will bring cutting-edge research to life in production environments, empowering the next wave of enterprise AI capabilities.


Responsibilities:

  • - Lead the development and optimization of LLM inference and deployment pipelines.
  • - Fine-tune and adapt LLMs for specific use cases, ensuring high accuracy and performance.
  • - Collaborate with researchers to train models from scratch or on large datasets.
  • - Implement and optimize end-to-end systems for LLMOps, from model selection to serving architectures.
  • - Monitor and troubleshoot model performance, latency, and scaling issues in production.
  • - Stay updated with the latest advancements in LLM infrastructure, applying state-of-the-art techniques to keep Wand's AI models at the forefront of industry standards.
  • - Work closely with cross-functional teams, including platform engineers and researchers, to deploy models seamlessly.


Key Qualifications:

  • - Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • - 4+ years of experience in building and deploying large-scale machine learning models, focus on LLMs more recently is a bonus.
  • - Extensive experience with fine-tuning and training custom / open-source language models
  • - Deep understanding of LLM infrastructure and MLOps best practices to support fast and efficient deployment, inference, fine tuning, quantization etc.
  • - Expertise and experience with frameworks like TensorFlow, PyTorch, and Hugging Face.
  • - Experience with cloud providers (Google Cloud, AWS, Azure) and containerized environments (Kubernetes, Docker).
  • - Prior work with research teams in a 0-100 environment


Preferred Experience:

  • - Prior experience with large language model research and implementation.
  • - Expertise in developing LLM-serving architectures and low-latency inference systems.
  • - Strong understanding of distributed training and inference of LLMs.


Personal Characteristics:

  • Strong individual contributor with the ability to work independently. Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
  • Excellent communication and interpersonal skills.
  • Continuous drive for improvement and innovation.
  • Obsession with customer experience


What We Offer:

  • The opportunity to be part of a groundbreaking company, leading the charge in AI assistant technology.
  • A dynamic, innovative, and supportive work environment where your contributions have a direct impact on the future of the enterprise software industry.
  • Competitive salary, equity options, and comprehensive benefits package.
  • Flexible working hours and the option for remote work.
  • Continuous learning and development opportunities to enhance your skills and career growth.


 At Wand AI, we believe in empowering our leaders to be pioneers in their fields, constantly pushing the envelope of what's possible. If you are ready to lead with dedication, creativity, and unwavering commitment to excellence, we welcome you to apply.

Apply for this position