2 months ago
Singapore, SingaporeSenior
Responsibilities
- Architect production-grade RAG workflows on AWS or GCP using LangGraph or LlamaIndex and build agents for multi-step financial tasks.
- Implement multimodal reasoning pipelines for mixed-media financial documents including charts, graphs, and tables.
- Perform red teaming for prompt injection, jailbreaking, PII leakage, and other model vulnerabilities before systems access sensitive data.
- Define quantitative AI evaluation criteria and use tools such as DeepEval to measure faithfulness and relevancy and validate model upgrades and cost optimization.
- Containerize, test, and deploy solutions using Docker, GitLab CI, and cloud infrastructure.
- Implement deterministic guardrails with tools such as NeMo Guardrails and Guardrails AI to enforce JSON schemas and block non-compliant financial advice.
- Implement tracing, monitoring, and observability for generative AI systems.
Requirements
- 5+ years of total AI engineering experience, including 2+ years of hands-on experience building and deploying NLP or GenAI solutions in production.
- Expertise architecting solutions on major cloud platforms such as AWS and GCP, including cloud-native LLM ecosystems such as Bedrock and Vertex AI and services such as IAM and Storage.
- Expertise with LangChain, LangGraph, LlamaIndex, or equivalent orchestration tools for stateful, multi-turn agents.
- Experience with evaluation and monitoring tools such as DeepEval, LangSmith, Langfuse, and Arize Phoenix.
- Ability to write GitLab CI pipelines and strong Docker skills, including multi-stage builds.
- Bachelor’s degree in a STEM field such as Computer Science, Engineering, Mathematics, or Physics.
- Proficiency in Python, Pydantic, and asynchronous REST APIs such as FastAPI.
- Hands-on experience managing vector databases such as Vertex AI Vector Search, Weaviate, Milvus, or pgvector, with knowledge of indexing and chunking for hybrid search.
- Knowledge of adversarial testing frameworks such as Giskard and PyRIT for scanning LLM vulnerabilities.
- Fintech experience in payments, banking, or financial services is strongly preferred.
- Google Professional Machine Learning Engineer or AWS Certified Machine Learning - Specialty certification is highly preferred.
Tech Stack
Categories
About Thunes
Thunes operates a cross-border payments platform that lets businesses send and collect funds in real time across 130 countries via 350+ payment methods, connecting billions of wallets and bank accounts. It offers APIs for payouts, collections, and alternative payment methods to banks, fintechs, PSPs, money transfer operators, and online platforms, charging transaction-based fees. Founded in 2016 and headquartered in Singapore, the company is privately held with offices across multiple regions.