Full Stack LLM Developer
Accenture
Full Stack LLM Developer
Job Description
We Are:
Accenture is helping companies use generative AI to reinvent their enterprise and optimize business functions for breakthrough innovation and competitive advantage. With over 1,600 professionals dedicated to generative AI, leveraging the depth and experience of more than 40,000 AI and data professionals across the company our Generative AI and LLM Center of Excellence brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.
You Are:
As a Full Stack Model Developer you will:
Develop large language model (LLM)-based applications using opensource frameworks like Semantic Kernel, Lang Chain, Llama Index.
Build, train, and fine tune LLMs to improve performance, accuracy and alignment of the general-purpose models.
Develop and integrate LLMs and/or LLM applications into products and services. Design, develop, and optimize Artificial Intelligence (AI) prompts.
Implement AI applications that comply with ethical guidelines and legal standards, particularly regarding data privacy and user consent based on the technical design.
The Work:
Implement Large Language Models (LLMs) into full-stack applications, ensuring seamless integration and tailoring the capabilities of LLMs to meet specific application needs.
Create detail design for system components that leverage LLMs or LLM applications.
Formulate effective prompts for Generative AI models and develop applications using a complete technology stack.
Apply domain-specific data and techniques for domain adaptation. Enhance model accuracy and effectiveness through fine-tuning.
Developing solutions for ethical usage of AI and adherence to industry standards and regulations under the guidance of LLM SME and Technical Leads.
Integrating analytics and monitoring tools to track user interactions, application performance, and the efficiency of LLM integrations.
Developing and executing comprehensive testing plans for AI applications.
Collaborate in developing DevOps and MLOps pipelines for application and model deployment.
Monitor application performance, identify optimization opportunities, and implement solutions to enhance efficiency and scalability.
Address and resolve technical incidents, troubleshoot both front-end, back-end and LLM integration issues.
Exploring emerging technologies and their potential integration into business solutions.
Travel may be required for this role.
Qualifications
Here’s what you need: (Basic Qualifications)
Bachelor's Degree
Minimum 3 years of work experience in full stack software development, with a significant portion focused on AI powered application development.
Minimum 1 year of experience in Machine Learning, including deep learning concepts and algorithms
4-6 months of experience to Generative AI – LLM models and associated application frameworks
Bonus point if you have: (Preferred Qualifications)
Experience with contributions to open-source AI projects
English is required for this position as this role will regularly interact with English-speaking stakeholders across Canada. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time employment, for roles that may be hired in British Columbia as set forth below.
Information on benefits is here.
Role Location Annual Salary Range
British Columbia $60,600 to $158,900
Locations
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Work where you're inspired to explore your passions and where your talents are nurtured and cultivated. Innovate with leading-edge technologies on some of the coolest projects you can imagine.
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Take time away to learn and learn all the time in our regional learning hubs, connected classrooms, online courses and learning boards.
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