Senior AI Engineer (Remote)

Position Summary: As a senior member of our engineering team, you’ll have the autonomy to shape our AI strategy and make key architectural decisions that impact our platform’s future.

We are seeking a highly skilled Senior AI Engineer to join our fast-growing startup and lead the development of cutting-edge AI and machine learning solutions. The ideal candidate will have a strong background in AI/ML, Gen AI and LLMs integrations, data science, and software engineering, with a passion for innovation and problem-solving. This role is pivotal in driving the company’s AI capabilities forward as we revolutionize the way people live, work, and retire abroad.

Join us in leveraging AI to democratize global mobility and create a borderless future where everyone can choose where they live and work.

Requirements

Key Responsibilities

Developing and Implementing AI/ML Models:

Drive autonomous decision-making in a fast-paced startup environment, taking ownership of critical AI initiatives from conception to deployment.

• AI/ML Model Development: Design, build, and deploy advanced Generative AI applications, LLMs cloud integrations and machine learning models to solve critical business challenges and drive innovation.
• Collaboration: Work closely with data scientists, software engineers, and product managers to identify opportunities where AI/ML can add significant value.
• Model Optimization: Select the most suitable model architectures, fine-tune hyperparameters, and optimize models for high performance and scalability.

Data Preprocessing and Feature Engineering:

• Data Wrangling: Clean, preprocess, and manage large datasets to ensure they are ready for effective modeling.
• Exploratory Data Analysis (EDA): Conduct EDA to understand data characteristics, uncover trends, and identify relevant features.
• Feature Engineering: Develop and refine features that enhance model accuracy and capture essential patterns within the data.

Productionizing and Maintaining AI Systems:

• Pipeline Development: Create and maintain robust pipelines for automating model training, evaluation, and deployment to production environments.
• Integration: Seamlessly integrate AI/ML models into the startup’s products and services, ensuring they are scalable and reliable.
• Model Monitoring: Continuously monitor deployed models for performance drift, and proactively retrain or update them as necessary.
• System Reliability: Ensure the AI systems remain reliable, efficient, and free of bugs as the company rapidly scales.

Collaborating Cross-Functionally and Communicating Results:

Directly influence product decisions that help thousands of people achieve their dreams of living abroad.

• Cross-Functional Collaboration: Work closely with diverse teams, including product, engineering, design, and leadership, to align AI initiatives with business goals.
• Communication: Effectively communicate complex AI/ML concepts and findings to both technical and non-technical stakeholders.
• Mentorship: Mentor junior team members and share knowledge to elevate the company’s overall AI capabilities.

Keeping Up with the Latest AI Advances:

• Continuous Learning: Stay informed about the latest advancements in AI/ML by engaging with research papers, attending conferences, and participating in open-source projects.
• Innovation: Proactively introduce new ideas and cutting-edge techniques to help the company stay ahead in the industry.
• Skill Development: Constantly expand your expertise in areas like deep learning, natural language processing (NLP), computer vision, AI ethics, and safety.
• Thought Leadership: Contribute to establishing the company as an industry thought leader in AI.

Technical Skills Required:

Directly influence product decisions that help thousands of people achieve their dreams of living abroad.

• Gen AI expertise: Proven experience in integrations with LLMs. Knowledge of Agentic workflows & function-calling applications.
• ML Expertise: Proven experience in designing, building, and deploying AI/ML models using frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Programming Languages: Strong proficiency in Python and familiarity with other relevant languages like Javascript, or C++.
• Data Management: Strong capabilities in handling large datasets, data preprocessing, and feature engineering.
• Cloud Platforms: Experience with AWS cloud platform is a must (Azure or GCP is a plus) particularly in deploying and managing AI/ML models.
• CI/CD Pipelines: Knowledge of CI/CD practices and tools for automating the deployment of AI models.
• Big Data Technologies: Familiarity with big data technologies such as Hadoop, Spark, or Kafka is a plus.

Qualifications and Experience

Passion for GlobalPassport™'s mission of accelerating human mobility and making international relocation accessible to everyone.

• Professional Experience: Minimum of 5 years in AI/ML engineering, with a focus on deploying AI models in production environments.
• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Language: Proficiency in English, both written and conversational.
• Preferred Qualifications: Experience in a startup environment, with a track record of successful AI/ML model deployments.

Benefits

What We Offer:

• Competitive Salary: Attractive compensation package commensurate with experience.
• Ownership: Participate in our stock option program and gain the opportunity to own shares in the company, directly benefiting from our growth and success.
• Work from Anywhere: Remote-first culture that emphasizes outcomes over process, with the freedom to define your work approach.
• Take the Time You Need: flexible PTO policy centered on outcomes, not hours
• Professional Growth: Opportunities for career advancement in a rapidly growing startup.
• Innovative Culture: Engage in a creative work environment where innovation is encouraged, and new ideas are valued.

Cultural Fit:

We’re looking for someone who:

• Thrives in ambiguity and sees opportunity in challenges
• Takes ownership and drives results without heavy oversight
• Has experience building systems from scratch
• Is energized by our mission to transform global mobility
• Brings a global mindset and appreciates diverse perspectives

Application Process:

Interested candidates should submit a resume and a cover letter detailing their qualifications and why they are a good fit for this role. Please include examples of past projects or contributions relevant to AI/ML engineering.

About GlobalPassport™:

GlobalPassport™ is the world’s first comprehensive platform designed to empower your dream of living, working, and retiring abroad. With our purpose-built software, obtaining international residency privileges in the world’s most desirable destinations has never been easier, faster, or more reliable. We’re simplifying each step of your journey, from learning about potential locations to identifying, applying for, and securing alternate residency or dual citizenship. Our platform combines speed, reliability, and transparency, making the complexities of international relocation a thing of the past. Embrace your global freedom with GlobalPassport™ and turn your aspirations of an international lifestyle into reality.

Visit to apply and join our mission to unlock the world.