Full Stack Large Language Model Developer

We Are

The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose : to help clients optimize and reinvent their business with data & AI - backed by a $3B investment and commitment to our people to do industry-defining work.

With over 45,000 professionals dedicated to Data & AI, Accenture's Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are

As a Full Stack LLM Developer, you will play a pivotal role in developing large language model (LLM)-based applications. You will have an opportunity to build, train, and fine tune LLMs to improve performance, accuracy, and alignment of the general-purpose models.

In addition, you will utilize your strong skills to develop and integrate LLMs and / or LLM applications into products and services.

Design, develop, and optimize Artificial Intelligence (AI) prompts.

Position Responsibilities :

• Design, develop, and optimize Artificial Intelligence (AI) prompts.
• Take ownership of technical designs, code development, and component test execution to ensure they align with the functional specification.
• Develop a comprehensive application and component strategy for one or more programs, encompassing both user experience and backend code.
• Architect a robust development strategy for applications and components.
• Apply expertise in relevant architecture frameworks to define and evaluate application architectures effectively.
• Conduct thorough code reviews and offer valuable suggestions for fixes and enhancements.
• Provide support for issue analysis and resolution during test phases, as well as production issues.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here's what you need

• Minimum of 1 years of experience working on LLM for business applications w / strong understanding with fine tuning & prompt engineering.
• Minimum of 3 years of demonstrated expertise in successfully designing and building custom applications, Continuous Integration, Continuous Delivery, Pair Programming, and Test-Driven Development with the ability to author robust Unit, Integration, and Functional Tests, ensuring software quality at all stages of the development process.
• Minimum of 3 years of experience in Full Stack development with one or more programming languages and frameworks, such as Python, Javascript, Java, Spring or GoLang, showcasing a strong command over the technical foundations and mastery of one or more frontend frameworks, including HTML5, Angular, Node.

JS or React, exhibiting a deep understanding of modern web development.

• Minimum of 3 years of experience working with application services from at least one public cloud (AWS, GCP, Azure, etc)
• Minimum of 1 years of experience leading a team or being part of team management, preferably in AI-driven project environments.
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience)

Bonus Points if you have

• Experience in developing applications for both mobile and web platforms, showcasing versatility and adaptability in diverse environments.
• Experience / knowledge of Retrieval Augmentation Generation (RAG) Architecture.

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 for roles that may be hired in California, Colorado, New York or Washington as set forth below.

We accept applications on an on-going basis and there is no fixed deadline to apply.

Information on benefits is here.

Role Location Annual Salary Range

California $63,200 to $188,600

Colorado $63,200 to $163,000

New York $58,500 to $188,600

Washington $67,300 to $173,500

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