
EYDS - AI Engineer (Senior)
Ernst and Young2 hours ago
Jakarta, IndonesiaSenior
Responsibilities
- Design and implement LLM-powered solutions for analytics, decision support, and automation.
- Develop natural-language query agents, agentic AI workflows, AI assistants, chat interfaces, and NLQ dashboards.
- Integrate AI solutions with client data platforms, APIs, and enterprise systems.
- Deploy applications to cloud environments using security, scalability, and reliability best practices.
- Support end-to-end delivery from use-case discovery and design through development, deployment, and client enablement.
- Communicate technical solutions clearly to business and executive stakeholders.
Requirements
- At least 3 years of working experience.
- Strong Python programming skills and solid understanding of SQL and enterprise data models.
- Hands-on experience with LLMs, including Azure OpenAI, OpenAI, or open-source models.
- Experience with prompt engineering, retrieval-augmented generation, embeddings, vector search, and agent-based AI solutions.
- Experience developing front-end applications with React, Angular, or Vue.js and integrating them with AI/ML APIs.
- Experience deploying applications to cloud platforms; Azure is preferred, while AWS or GCP are acceptable.
- Hands-on experience with Docker, FastAPI or Flask, and cloud services such as Azure OpenAI, App Service, or Kubernetes.
- Understanding of CI/CD pipelines, environment configuration, and basic cloud security concepts.
- Ability to stay current with AI trends and communicate effectively with client stakeholders.
Benefits
- Continuous learning, training, coaching, and development opportunities.
- Tools and flexibility to make a meaningful impact and define success on your own terms.
- Transformative leadership support and an inclusive, diverse culture.
- Cross-industry consulting exposure and opportunities to work with business and executive stakeholders.
Tech Stack
Categories
Solutions Engineering