AI Engineer

June 11, 2025
Open
Open
Negotiable
Location
Vietnam
Occupation
Full-time
Experience level
Mid-level
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AI Summary

ImportGenius is looking for an AI Engineer to join their remote team and work on cutting-edge AI solutions derived from real-time global trade data. This full-time role involves designing LLM-powered features, enriching data pipelines, and building intelligent applications that unlock insights across global supply chains. You'll collaborate with domain experts and product teams, integrating tools like ChatGPT, Claude, and OpenRouter while contributing to a culture of AI-driven innovation. Benefits include 14 vacation and sick leaves, 5 emergency leaves, performance-based annual merit increases and milestone bonuses, and weekends and holidays off.

Candidates should have a Bachelor’s or Master’s degree in CS or related fields, around 5 years of experience (including side projects), and proven skills in Python and AI/ML technologies. Proficiency with cloud platforms like AWS or GCP, experience creating LLM applications, and strong problem-solving ability are essential. Familiarity with MLOps tools and AI assistant implementation is a plus. Reporting directly to the CPTO, the role is part of a multi-stage evaluation process including technical assessments and interviews.

This is an exciting opportunity to push the boundaries of AI in a mission-driven company exploring urgent global issues—from sanctions compliance to forced labor—through data. Ideal for engineers passionate about impactful work and modern AI stacks.

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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 labour 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 Experience

● Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. ● Demonstrated experience creating LLM-powered applications ● Around 5 years of relevant experience (including research, side projects, etc.) ● 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

Why Candidate should apply 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

Preferred skills and experiences

- Experience implementing AI Assistant

Report to

CPTO

Interview process

1. Aptitude and personality exam -> 2. Skill test -> 3. HR Call -> 4. Final Interview (1-2 rounds based on level)

Apply now
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