Accenture's Data & AI team in Singapore is hiring full-stack engineers across seniority levels to design, build, and maintain applications that integrate and fine-tune Large Language Models. Day-to-day work spans front-end and back-end development (React/Angular, Node.js/Python/Java/.NET), AI/ML model integration with TensorFlow/PyTorch, data pipelines, and cloud deployment on AWS, Azure, or GCP,
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.
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).