Senior AI/ML Engineer

This is a fully remote position, open to applicants in Vietnam.

📋 Description

• Design, develop, and operate production-level AI/ML systems, encompassing traditional ML models as well as LLM and agent-based applications.

• Oversee technical initiatives on large-scale AI systems while establishing high standards for AI-native engineering practices.

• Create and sustain scalable ML pipelines on Databricks and AWS, covering data ingestion, feature engineering, model training, evaluation, serving, monitoring, drift detection, and automated retraining.

• Construct systems that integrate models, tools, and data into agentic workflows, featuring planning, tool utilization, structured outputs, and failure management.

• Detect and address performance issues in model training and inference through profiling, optimization, and architectural enhancements.

• Enhance latency and cost efficiency using methods such as TensorRT, quantization, and batching.

• Establish evaluation frameworks for LLM and ML systems, including offline assessments, online A/B tests, and quality safeguards.

• Ensure the fairness of models, mitigate bias, and uphold responsible AI practices.

• Identify and redesign engineering and business workflows leveraging AI tools while measuring their impact.

• Collaborate with cross-functional teams to convert product requirements into production-ready systems.

• Consistently enhance system performance through ongoing iteration and evaluation.

• Guide engineers in ML practices and AI-assisted development.

• Partner with stakeholders to define and execute AI initiatives.

⛳️ Requirements

• Over 5 years of software engineering experience with an emphasis on machine learning systems, model development, or ML infrastructure.

• Demonstrated success in deploying AI/ML solutions at scale within production environments.

• Expertise in one or more specialized ML areas: search, recommendation systems, natural language processing (NLP), computer vision, or generative AI.

• Proven experience in leading and managing the complete delivery of AI/ML projects, including technical design, cross-functional collaboration, and operational readiness.

• Familiarity with using AI coding assistants like Cursor, Copilot, Codex, or similar tools for development, debugging, testing, and refactoring.

• Knowledge of LLM-powered productivity tools for documentation search, experiment analysis, SQL and data exploration, and improving engineering workflows.

• Experience in integrating AI tools to enhance engineering efficiency and code quality, or to redesign workflows with measurable results.

• Continuously advancing AI skills, such as prompt and context engineering or agent orchestration, and keeping up with the latest AI technologies.

• Strong communication and mentorship abilities.

• Proficient in English communication skills (both written and verbal).

• Proficient in Python (primary language).

• Experience with Databricks, Spark, MLflow, Unity Catalog.

• Familiarity with AWS services, including SageMaker, S3, Lambda, ECS/EKS.

• Knowledge of Qdrant.

• Proficient in TensorRT.

• Experience with PyTorch and Hugging Face.

• Familiarity with LLM APIs such as Anthropic and OpenAI, as well as agent frameworks.

• Nice to have: LLM observability and evaluation tools, Docker/Kubernetes, and CI/CD for ML.

🏝️ Benefits

• Enjoy a paid day off on your birthday every year.

• Participate in a Give Back Day, a paid day each year to volunteer for a cause you are passionate about.

• Engage in Bonusly peer recognition, where points can be converted into real rewards.

• Experience a fully-funded 5-night trip to one of our global offices through the Clearer Together program.

• Take part in Stopover, an annual funded day with the local team when traveling near an office.

• Embrace a 100% Remote Culture: Work from anywhere in Vietnam.

• Receive a performance-based Year-End Bonus.

• Benefit from a Wellness Allowance.

• Enjoy 20 days of paid time off per year, in addition to Vietnam's public holidays.

• A MacBook will be provided for your work.

• Participate in offline meet-ups, monthly gatherings, and a year-end party.

• Access technical and general workshops, along with online resources.

• Receive Generali Health Care and an annual check-up.

• Gain international exposure to enhance your expertise and English communication skills.