Deskripsi Pekerjaan
Join Accenture's pioneering AI practice and revolutionize industries through generative AI innovation. As a Fullstack AI Engineer, you'll architect and deploy cutting-edge solutions that blend traditional full-stack development with transformative AI capabilities. This role offers the unique opportunity to work on large language models, AI-powered applications, and next-gen automation platforms that redefine business operations. Collaborate with global experts to solve complex challenges while leveraging Accenture's extensive AI ecosystem and resources. Your work will directly impact how enterprises harness AI for strategic advantage, from intelligent chatbots to predictive analytics systems.
Accenture provides unparalleled access to emerging AI technologies, continuous learning platforms, and cross-industry exposure. You'll gain hands-on experience with MLOps, prompt engineering, and AI deployment frameworks while contributing to high-impact projects for Fortune 500 clients. This position is ideal for developers passionate about bridging the gap between AI research and practical, scalable applications.
Tanggung Jawab
- Design and develop full-stack AI applications using Python, JavaScript, and cloud-native frameworks
- Integrate generative AI models (LLMs) into production systems via API development and microservices
- Implement MLOps pipelines for model training, versioning, and deployment at scale
- Collaborate with data scientists to optimize AI models for performance and accuracy
- Develop responsive front-end interfaces for AI-powered applications using React/Angular
- Ensure AI solutions meet enterprise security, compliance, and ethical standards
- Document AI system architecture and create technical specifications for cross-functional teams
Kualifikasi
- Bachelor's degree in Computer Science, Engineering, or related technical field
- 3+ years of full-stack development experience with Python and JavaScript frameworks
- Proficiency in machine learning libraries (TensorFlow, PyTorch) and NLP tools
- Strong understanding of cloud platforms (AWS/Azure/GCP) and containerization (Docker/Kubernetes)
- Experience with AI model deployment and API integration in production environments
- Knowledge of generative AI concepts including prompt engineering and fine-tuning
- Excellent problem-solving skills with ability to translate business requirements into technical solutions