[Hiring] Senior AI/ML Engineer @Clearer.io

Role Description

As a Senior AI/ML Engineer, you will design, build and run production AI/ML systems, from classic ML models to LLM and agent-based applications, that improve the user experience and business results. You will lead technical work on large AI systems, set a high bar for AI-native engineering practice, mentor engineers and work with stakeholders to define and deliver AI initiatives.

What you'll do

• Develop and maintain scalable ML pipelines on Databricks and AWS covering data ingestion, feature engineering, model training, evaluation and serving, with monitoring, drift detection and automated retraining.
• Build systems that combine models, tools and data into cohesive, agentic workflows capable of executing multi-step tasks. This includes designing system behaviors such as planning, tool use, structured outputs and failure handling.
• Identify and resolve performance bottlenecks in model training and inference through profiling, optimization, and architectural improvements, optimizing for latency and cost (e.g., TensorRT, quantization, batching).
• Set up evaluation frameworks for LLM and ML systems, including offline evals, online A/B tests and quality guardrails, and ensure model fairness, bias mitigation and responsible AI practices.
• Find and redesign engineering and business workflows using AI tools, and measure the impact.
• Collaborate with cross-functional teams to translate product requirements into production-ready systems, and continuously improve system performance through iteration and evaluation.
• Mentor engineers on ML practice and AI-assisted development.

Qualifications

• 5+ years of software engineering experience with a focus on machine learning systems, model development, or ML infrastructure.
• Proven track record of deploying AI/ML solutions at scale in production.
• Experience in one or more specialized ML domains: search, recommendation systems, natural language processing (NLP), computer vision or generative AI.
• Experience leading and owning end-to-end delivery of AI/ML projects, including technical design, cross-functional collaboration, and operational readiness.
• Experience using Cursor, Copilot, Codex or similar AI coding assistants for development, debugging, testing and refactoring.
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL and data exploration, and speeding up engineering workflows.
• Has integrated AI tools to improve engineering efficiency and code quality, or to redesign workflows, with measurable impact such as time saved, defect reduction or throughput gains.
• Keeps building AI skills, for example prompt and context engineering or agent orchestration, and stays current with new AI technologies.
• Excellent communication and mentorship skills.
• Good English communication skills (written and verbal).

Requirements

• Languages: Python (primary)
• Data & ML platform: Databricks (Spark, MLflow, Unity Catalog), AWS (SageMaker, S3, Lambda, ECS/EKS)
• Vector search / RAG: Qdrant
• Inference optimisation: TensorRT
• Frameworks: PyTorch, Hugging Face; LLM APIs (Anthropic, OpenAI) and agent frameworks

Benefits

• Your birthday off - a full paid day, just for you, every year.
• Give Back Day - a paid day each year to volunteer for a cause you care about.
• Bonusly peer recognition - real-time shout-outs tied to our values, with points that convert to real rewards.
• Clearer Together - employees who exemplify our values win a fully-funded 5-night trip to one of our global offices (Sydney, Berlin, Leicester, Irvine or Ho Chi Minh City).
• Stopover - travelling near one of our offices? Once a year we'll fund a day with the local team.
• 100% Remote Culture: Work from anywhere in Vietnam that brings you happiness.
• Performance-based Year-End Bonus: Recognizing and rewarding your individual contributions.
• Wellness Allowance: Support for classes promoting physical and mental health.
• Time Off: 20 days/year, in addition to Vietnam holidays.
• MacBook Provided.
• Collaborative Events: Offline meet-ups, monthly gatherings and year-end party.
• Continuous Learning: Technical and general workshops, online resources.
• Health and Wellness Benefits: Generali Health Care, annual check-up.
• International Exposure: Enhance expertise and English communication skills.