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Artificial Intelligence Engineer

Take2 Consulting, LLC San Jose, CA
Full-time Posted 8 months ago

Role overview

As an LLM Engineer, you will be at the forefront of designing, developing, and refining large language models to meet strategic performance, efficiency, and alignment objectives. Your expertise will enable seamless integration of these models into scalable applications, providing exceptional user experiences and enabling data-driven decision-making.

Responsibilities

  • check_circle Model Development & Optimization:
  • check_circle Design, train, fine-tune, and evaluate large language models to enhance performance, efficiency, and alignment with project goals.
  • check_circle Experiment with novel architectures, prompt-engineering techniques, and retrieval systems to improve model capabilities.
  • check_circle Systems Integration & Deployment:
  • check_circle Build scalable inference pipelines to support high-volume, real-time applications.
  • check_circle Optimize model serving infrastructure through techniques such as quantization, caching, and model distillation.
  • check_circle Integrate models seamlessly into production environments, including APIs and user-facing applications.
  • check_circle Research & Cross-Functional Collaboration:
  • check_circle Lead research initiatives exploring new models, algorithms, and methodologies.
  • check_circle Collaborate closely with product managers, data scientists, and ML operations teams to translate research innovations into deployable features.
  • check_circle Proven experience in developing and deploying large language models or similar deep learning models.
  • check_circle Experience in Language Model Building Blocks (LEGO) is essential
  • check_circle Strong skills in machine learning frameworks (e.g., TensorFlow, PyTorch).
  • check_circle Expertise in optimizing inference pipelines and deploying models at scale.
  • check_circle Familiarity with model compression techniques such as quantization and distillation.
  • check_circle Ability to work cross-functionally and communicate complex technical concepts effectively.
  • check_circle Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field; Ph.D. preferred.

Benefits

  • check_circle Opportunity to shape the future of AI with a talented, innovative team.
  • check_circle Hybrid work environment supporting work-life balance.
  • check_circle Continuous learning and professional development opportunities.
  • check_circle Competitive compensation package and comprehensive benefits.

Tags & Focus Areas

Contract Ai Engineer

About Take2 Consulting, LLC

Maintain and support the ServiceNow system, including workflow development, bug fixes, and upgrades. Develop and implement ServiceNow system solutions in a Linux environment with a focus on integrations. Support and enhance ITOM and ITAM applications such as discovery, asset management, and event management. Configure ServiceNow modules including incident, problem, change, request, and service catalog, applying best practices. Monitor system stability to prevent service degradation or int...

Industry Contract
HQ San Jose, United States