Tóm tắt công việc
We are building customer-facing and internal AI products that directly impact growth, risk, operations, and customer experience in a regulated fintech environment.
As a Senior / Expert AI Platform Engineer, you will lead the delivery of LLM-powered products such as chatbots, voicebots, and analytics co-pilots, while ensuring they are production-grade, compliant, and measurable.
This is a product-heavy role: success is defined by business outcomes, not just infrastructure.
You will work end-to-end across data → model → product → monitoring, partnering closely with Product, Risk, Compliance, and Engineering teams.
What Youʼll Build:
Customer-facing AI used by millions of users, AI assistants embedded in critical fintech workflows, A trusted, compliant AI platform adopted across the company, Measurable business impact across growth, cost, and risk
Why Join Us:
Build real AI products, not demos, Direct ownership of business-critical systems, Strong executive sponsorship for AI & GenAI, Modern stack: AWS Bedrock, dbt, Airflow, MLflow, High trust, high impact, expert-level autonomy
Main Responsibilities include:
1. AI Products & Customer Journeys
- Own the design and implementation of AI-driven products
- Customer service chatbots & voicebots
- Internal analytics & decisioning co-pilots
- AI assistants for operations, sales, and risk teams
- Translate business problems (conversion, cost-to-serve, fraud, credit decisioning, CX) into AI solutions
- Design LLM workflows using RAG, agents, tools, and structured reasoning
- Integrate models via AWS Bedrock with strict controls on latency, cost, and reliability
2. Fintech-Grade AI & ML Platform
- Build and evolve a shared AI & ML platform supporting:
- Predictive ML (risk, fraud, personalization)
- LLM & GenAI workloads
- Productionize models with strong MLOps practices:
- Experiment tracking & model registry (MLflow)
- CI/CD for models, prompts, and agents
- Orchestrate data & ML pipelines using Airflow
- Enable analytics, features, and training datasets using dbt
- Support both real-time inference and batch decisioning
3. Risk, Governance & Compliance (Critical)
- Design AI systems aligned with fintech governance requirements:
- Model versioning, traceability, and auditability
- Explainability and decision logging where required
- Implement guardrails for:
- Hallucination control & safe completion
- Data privacy & PII protection
- Model misuse and prompt injection
- Partner with Risk, Compliance, and Legal to enable safe GenAI adoption
- Support internal reviews, validations, and regulator-ready documentation
4. Monitoring, Quality & Continuous Improvement
- Define and operate AI observability:
- Model & prompt performance
- Drift, bias, and degradation
- Latency & cost efficiency
- Build feedback loops from users, agents, and business teams
- Continuously improve prompts, models, and product experience
1. Attractive Compensation and Rewards
- Competitive salary benchmarked against the market and aligned with your capabilities. The final salary package will be negotiated upon successfully passing the interview process.
- Year-end performance bonus ranging from 2 to 5 months' average salary, depending on individual performance evaluation results.
2. Comprehensive Benefits Package
- Statutory insurance coverage and additional private health insurance for employees.
- Diverse employee benefits, including flexible working hours, company trips, birthday leave, and more.
- Access to employee loan programs with preferential interest rates.
3. Learning, Development, and Career Advancement
- Structured and in-depth training programs focused on Re-skilling, Up-skilling, and New-skilling, tailored to specific job groups and career paths.
- Close mentoring and coaching from direct managers, senior leaders, and industry experts.
- Management development programs for high-potential employees, preparing them for future leadership and managerial roles.
- Priority is given to promoting internal talent into management positions, providing clear career progression opportunities.
4. Professional Work Environment and Dynamic Corporate Culture
- Friendly, supportive, and collaborative workplace that values accountability and mutual respect.
- Innovative and dynamic environment that encourages creativity, continuous learning, and improvement.
- Respect for diversity, with a strong emphasis on teamwork and effective collaboration.
- A wide range of cultural, sports, and recreational activities that foster employee engagement and a positive workplace atmosphere.
