A Blockchain Startup, a remote-first company based in Vietnam, is seeking a skilled AI Engineer to join their innovative team. This is a full-time role working from 7AM to 4PM, offering a dynamic opportunity to collaborate on cutting-edge AI/LLM solutions that interact with impactful global trade datasets. You'll work closely with product leaders, developers, and domain experts to integrate large language models (LLMs) into data pipelines, create intelligent AI assistant features, and deploy AI-powered applications. This role includes generous benefits such as 14 vacation days, 14 sick leaves, 5 emergency leaves, annual merit increases and milestone bonuses, and observance of Philippine holidays with weekends off.
The ideal candidate will have a Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field, and at least 5 years of experience building LLM-powered applications. Expertise in Python, AI/ML technologies, cloud platforms (AWS, GCP, Azure), and MLOps tools is essential. You should be proficient in software design principles, data structures, and algorithms. Strong skills in prompt engineering, AI assistant integrations (ChatGPT, Claude, OpenRouter), and familiarity with AI model versioning and deployment best practices are highly valued.
Applicants will undergo a multi-step evaluation process including an aptitude and personality exam, skill test, HR call, and final interview with up to 2 rounds depending on experience level. This role offers a chance to drive real-world impact by applying advanced AI to global trade intelligence and supply chain visibility, all while shaping the future of a fast-growing blockchain-based ecosystem.
Job Overview and Responsibility
ImportGenius is seeking an AI Engineer to unlock the immense potential of our global trade datasets—some of the most timely and impactful information in today’s geopolitical and economic landscape. Our data captures critical insights into worldwide supply chains, tariffs, and trade wars - from investigating Russian sanctions compliance to the flow of AI microchips and fentanyl precursors, to helping exporters find new customers, to unmasking forced labor in global supply chains.
In this role, you’ll collaborate with seasoned domain experts, dev teams, and product leaders to design and implement advanced AI features - from integrating models into pipelines for data enrichment to shipping LLM-powered features and applications to empower laypeople to interact with complex data. You’ll also help shape an emerging culture of innovation, bringing fresh perspectives to our AI processes and roadmap.
- Design and develop LLM solutions from conception to deployment
- Collaborate with cross-functional teams to identify and implement AI solutions for business challenges
- Integrate LLM’s with data pipelines and ensure efficient processing
- Design and implement AI assistant integrations using APIs for ChatGPT, Claude, OpenRouter, etc.
- Develop prompt engineering strategies and optimize LLM interactions for specific use cases
- Design evals and monitor production AI systems for quality and efficiency
- Implement best practices for model versioning, testing, and deployment
- Document technical specifications and maintain comprehensive system documentation
- Stay current with the latest developments in AI technologies and methodologies
Required Skills and Experiences
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
- Demonstrated experience creating LLM-powered applications (at least 5 years of experience)
- Strong programming skills in Python
- Strong understanding of data structures, algorithms, and software design principles
- Experience in emerging AI/ML technologies
- Experience with cloud platforms (AWS, GCP, or Azure) and MLOps tools
- Excellent problem-solving and analytical skills
Preferred Skills and Experiences
- Experience implementing AI Assistant
Why Candidates Should Apply for This Position
- 14 Vacation Leave
- 14 Sick Leave
- 5 Emergency Leave
- Annual Merit Increase based on performance
- Annual Milestone Bonus based on performance
- Weekends off and Philippines holidays off
Report to
CPTO
Interview Process
- Aptitude and personality exam
- Skill test
- HR Call
- Final Interview (1-2 rounds based on level)
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