AI Engineer

Develop and deploy machine learning models to support insurance recommendation, pricing, risk assessment, and claims automation

Build and maintain AI-powered features integrated into our embedded insurance platform - from data pipelines to inference APIs

Design and implement RAG (Retrieval-Augmented Generation) pipelines and LLMbased assistants for internal and customer-facing use cases

Collaborate with product and engineering teams to translate business requirements into practical AI solutions

Participate in the full ML/AI lifecycle: data collection, feature engineering, model training, evaluation, deployment, and monitoring

Contribute to our internal AI agent framework - building, testing, and improving multiagent workflows using LangChain, LangGraph, or similar tools

Ensure AI models and services meet performance, reliability, and compliance standards in a regulated (insurance) environment

Participate in developing CI/CD workflows for AI/ML/Data pipelines.

Contribute to Agent Development Toolkits (ADK) and the automated Software

Development Life Cycle (SDLC) that accelerate AI-native feature delivery

Research and experiment with state-of-the-art AI/ML techniques and evaluate their applicability to insurance use cases

Prototype new AI capabilities quickly, iterate based on feedback, and graduate successful experiments into production

Document experiments, model architectures, and engineering decisions clearly for team knowledge sharing

Stay current with the AI ecosystem (LLM advances, agent frameworks, tooling) and bring relevant insights back to the team

Support Full Stack Engineers in using the AI Development Toolkit (ADK) to develop applications - guiding and enabling their use of the toolkit rather than building the applications yourself - and maintain a basic understanding of the SDLC to help ensure consistent engineering standards across the platform

Contribute to and continuously enhance the system knowledge base, ensuring documentation, patterns, and learnings are accessible to the agents

Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, Mathematics, or a related field

Recent graduate or up to 2 years of professional experience in AI/ML or software engineering - strong internship or project portfolio considered

Proficiency in English (written and verbal); multilingual capability is a plus in our multicultural team

Genuine curiosity about AI applications in insurance, fintech, or regulated industry contexts

Solid grounding in AI/ML fundamentals: supervised/unsupervised learning, neural networks, NLP, model evaluation

Hands-on experience with Python and at least one ML framework (PyTorch, TensorFlow, or scikit-learn)

Exposure to LLMs and Generative AI - prompt engineering, RAG concepts, or agentic workflows (through coursework, projects, or internships)

Fast learner who thrives in a startup environment and embraces rapidly evolving tooling and best practices

Awareness of AI ethics, model fairness, and responsible AI principles

Familiarity with LangChain, LlamaIndex, LangGraph, or similar orchestration frameworks for building AI agents

Experience with cloud platforms (AWS, Azure, or GCP) for model deployment, data storage, and AI services

Experience in ML/AI Ops and monitoring

Ability to build and expose ML models via REST APIs; Docker and production deployment experience

Hands-on experience with model fine-tuning, or building RAG or agentic workflows in a production setting

Sound decision-making under uncertainty - able to weigh trade-offs and move forward with available information

Resilient and composed in the face of ambiguity; views challenges as opportunities to learn and improve

Creative thinker who brings fresh ideas and approaches to problem-solving

Strong critical thinking - questions assumptions, stress-tests solutions, and seeks root causes

Reliable and accountable - follows through on commitments and communicates proactively when priorities shift

Highly collaborative - works effectively across engineering, product, and data teams

Open to feedback and genuinely invested in personal and team growth

Prioritises effectively and brings a sense of urgency to high-impact work

Competitive compensation - market-leading salary package

Healthcare coverage - for you and family members

Monthly allowances - meal and transportation support

Year-end bonus - performance-based

Modern office - state-of-the-art workspace in Ho Chi Minh City

Hybrid working - flexible mix of on-site and remote work

International team - work alongside colleagues across Singapore, Vietnam, Europe, and beyond

Cutting-edge stack - LLM/GenAI tooling, multi-cloud (AWS/Azure), modern AI engineering practices

High-impact work - shape the future of embedded insurance technology through applied AI

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666