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Full Stack LLM Development (Specialist/Associate Manager/Manager/Senior Manager) - Multiple Roles
Singapore
Job No. r00228713
Full-time - Hybrid
Job Description
#LI-GM
As a member of Accenture's Data & AI team, you will work on developing and implementing state-of-the-art Full Stack solutions, including Large Language Models (LLMs). You will collaborate with cross-functional teams to design, build, and maintain scalable and efficient software systems that leverage AI and machine learning technologies to solve complex business problems.
Key Responsibilities
- End-to-End designing, developing, and maintaining full-stack applications, ensuring seamless integration between front-end and back-end components.
- Develop and fine-tune Large Language Models for various applications, optimizing their performance and scalability.
- Integrate AI and machine learning models into full-stack applications, ensuring robust and efficient data pipelines.
- Work closely with data scientists, AI researchers, and other engineers to deliver high-quality AI-driven solutions.
- Write clean, maintainable, and efficient code, following best practices in software development.
- Implement testing frameworks and conduct thorough testing to ensure the reliability and stability of applications.
- Deploy applications to cloud platforms, monitor their performance, and make necessary improvements.
- Engage with clients to understand their needs, provide technical expertise, and deliver tailored full-stack AI solutions.
- Mentor junior engineers, providing guidance and fostering a collaborative and innovative environment.
- Lead and manage projects, ensuring timely delivery and alignment with client objectives.
Qualifications
- For All Levels
- Bachelor's or Master’s degree in Computer Science, Engineering, or related field.
- Proficiency in front-end technologies (e.g., HTML, CSS, JavaScript, React, Angular).
- Proficiency in back-end technologies (e.g., Node.js, Python, Java, .NET).
- Experience with databases (SQL and NoSQL).
- Strong understanding of cloud platforms (e.g., AWS, Azure, GCP).
- Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch).
- Knowledge of data structures, algorithms, and software design principles.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
- Ability to adapt to rapidly changing technologies and methodologies in full-stack and AI development.
- Candidates with exceptional experience will be considered irrespective of years of experience.
Consultant Level
- Minimum 4 years of experience in full-stack development, including AI/ML integration.
- Demonstrated ability to develop and implement full-stack applications.
- Experience in developing and fine-tuning AI/ML models.
- Proficiency in creating and managing data pipelines.
- Experience in client-facing roles, understanding client needs, and delivering tailored solutions.
Manager Level
- Minimum 6 years of experience in full-stack development, including AI/ML integration.
- Proven experience in leading and managing full-stack projects and teams.
- Strong project management skills, with the ability to manage multiple projects simultaneously.
- Demonstrated experience in evaluating and selecting technologies and frameworks.
- Ability to work with cross-functional teams and drive project alignment.
- Experience in developing client relationships and providing strategic consulting.
Senior Manager Level
- Minimum 8 years of experience in full-stack development, including AI/ML integration.
- Extensive experience in designing and implementing large-scale full-stack systems.
- Proven leadership skills with experience in managing large teams and complex projects.
- Strong strategic thinking and the ability to align full-stack architecture with business goals.
- Experience in mentoring and developing junior team members.
- Demonstrated ability to drive innovation and apply cutting-edge technologies to solve business problems.
- Significant experience in consulting, with a track record of delivering successful projects and building long-term client relationships.
Certifications (Optional, but a Plus)
- Relevant certifications in full-stack development, AI/ML, or project management (e.g., PMP, AWS Certified Developer, Google Cloud Professional Data Engineer).
