Senior AI Engineer
Department: AI & Machine Learning
Reports to: VP of Engineer
About Us
At Logipeace, we are revolutionizing the logistics and manufacturing industries with cutting-edge AI solutions. Our platform, Shipeace, is focused on streamlining communication and operational tasks, offering a unified messaging platform and shipment project management solution for manufacturers, Oil Tankers, & FMCG companies.
Position Overview
We are looking for a talented Senior AI Engineer to join our AI & Machine Learning team in Jakarta. The ideal candidate will have extensive experience working with large language models (LLM), agent-based systems, and various Google Cloud AI services, including the Google Cloud Natural Language (NL) API, Google Gemini AI, Google Document AI, and Google Vertex AI.
As a Senior AI Engineer, you will play a key role in shaping the AI-driven solutions for our platform and ensuring the seamless integration of advanced technologies to address complex business needs.
Key Responsibilities
- Develop, implement, and optimize large language models (LLM) and agent-based systems tailored to business applications.
- Design and build AI-powered solutions leveraging GCloud Natural Language API, GCloud Gemini AI, and GCloud Document AI to automate data extraction and processing from documents and emails.
- Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to define AI requirements and deliver scalable solutions.
- Lead the AI development lifecycle from research and design to deployment and continuous improvement.
- Contribute to AI model training and fine-tuning processes, ensuring high accuracy and performance.
- Stay up to date with the latest advancements in AI technologies, especially within Google Cloud’s AI ecosystem.
- Mentor junior engineers and provide technical leadership in AI-related projects.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field.
- 5+ years of experience in AI/ML engineering, with at least 2 years focused on large language models (LLMs) and agent-based systems.
- Extensive experience working with Google Cloud AI services, including the Natural Language API, Gemini AI, and Document AI.
- Proficient in Python, TensorFlow, PyTorch, or similar AI/ML frameworks.
- Strong experience in cloud-based architectures, especially in Google Cloud (GCP).
- Familiarity with AI model deployment, scaling, and monitoring.
- Excellent problem-solving and analytical skills.
- Strong communication skills and the ability to work in a collaborative team environment.
- Experience with data pipelines and integration in AI/ML workflows is a plus.
Preferred Skills
- Experience with deep learning models and techniques (transformers, BERT, etc.).
- Familiarity with additional Google Cloud AI tools and services.
- Knowledge of containerization (Docker, Kubernetes) and DevOps practices for AI.
- Experience in the logistics or manufacturing industry is a plus.
Why Join Us
- Competitive salary and benefits.
- Work in a fast-paced, innovative environment with cutting-edge AI technologies.
- Opportunity to make a significant impact on the future of logistics and manufacturing industries.
- Flexible working hours and a hybrid work environment.