AI Engineer at Thunes

Thunes operates as the smart superhighway for global money movement, enabling real-time payments across more than 130 countries and 80 currencies. We are seeking a senior AI Engineer to join our team in Singapore to help build our internal AI operating system, bridging the gap between high-growth fintech innovation and the rigorous standards of a regulated financial institution.

Responsibilities

• Design and implement production-grade RAG workflows and multi-step agentic systems using tools like LangGraph and LlamaIndex.
• Develop multimodal pipelines capable of reasoning over complex financial documents, including charts, tables, and graphs.
• Conduct internal red teaming to stress-test models against vulnerabilities such as prompt injection, PII leakage, and jailbreaking.
• Establish quantitative evaluation standards for AI performance, focusing on metrics like faithfulness and relevancy to guide model upgrades and cost optimization.
• Manage the full deployment lifecycle through containerization with Docker and automated pipelines using GitLab CI.
• Implement deterministic guardrails to ensure compliance and enforce strict output schemas for sensitive financial data.

Must-haves

• At least 5 years of total AI engineering experience, including 2 or more years specifically focused on deploying NLP or generative AI solutions to production.
• Advanced proficiency in Python, including experience with Pydantic for data validation and FastAPI for asynchronous REST APIs.
• Deep expertise in GenAI orchestration frameworks like LangChain, LangGraph, or LlamaIndex.
• Strong cloud architecture skills on platforms like AWS or GCP, with a solid grasp of native LLM ecosystems such as Bedrock or Vertex AI.
• Hands-on experience with vector databases and hybrid search strategies, including indexing and chunking.
• Proven ability to implement observability and tracing tools, alongside a strong background in MLOps and security testing frameworks.
• A Bachelor’s degree in a STEM field such as Computer Science, Engineering, Mathematics, or Physics.
• Professional fluency in English.

Nice-to-haves

• Prior experience working within the fintech, banking, or payments industries.
• Relevant professional certifications, such as AWS Certified Machine Learning – Specialty or Google Professional Machine Learning Engineer.