Location/Office: Raffles Quay
Working hours: Mon-Fri, 9am-6pm (Hybrid)
Compensation: Basic Salary + Performance bonus
Responsibilities
- Data ingestion: Multi-source scraping and integration, stable and schedulable
- Document parsing: Structured extraction from PDF / HTML / XBRL formats, including image-based PDFs, complex tables, and bilingual (Chinese/English) documents
- Data warehouse design & implementation: Schema design and maintenance using modern cloud warehouses (Snowflake / BigQuery / Postgres)
- Pipeline orchestration & monitoring: Production-grade ETL on Airflow / Prefect / Dagster, with data quality checks, alerts, and lineage tracking
- LLM application layer:
- Use of OpenAI / Anthropic APIs + open-source models
- Structured outputs, retrieval-augmented generation
- Basic evaluation and quality monitoring
- Backend services: Query APIs via FastAPI, serving downstream analyst tools
- Cloud infrastructure: GCP / AWS, leveraging managed services to minimize operational burden
Requirements
- At least 5-10 years of production engineering experience, having built complete online system.
- Strong Python and SQL skills experience in data modeling, testing, and performance tuning
- Hands-on experience parsing real-world messy documents (PDF, HTML, XBRL)
- 2-3 years of production LLM application experience, with deployment track record
- Familiarity with at least one orchestration framework (Airflow / Prefect / Dagster)
- Experience with schema design in at least one modern cloud data warehouse
- Strongly preferred: founding engineer experience, building end-to-end data systems in early AI startups
- Strong communication skills for direct collaboration with research and founding teams
- Professional working proficiency in English
Nice-to-Have
- Experience building data infrastructure supporting NLP / LLM workloads
- Hands-on dbt experience
- Multi-tenant / access control design experience
- Introductory knowledge of graph databases (Neo4j)
HOW TO APPLY:
Interested applicants, kindly send your resume in MS WORD format to [Confidential Information] or please click on Apply Now and provide the below details in your resume.
- Reasons for leaving ALL your employment
- Current and/or last drawn monthly salary (please provide breakdown)
- Expected monthly salary
- Availability
We regret only shortlisted candidates will be notified. Important Note: Career International - FOS Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA). Please read our privacy statement on our corporate website https://www.careerintlinc.com/southeast-asia/
Career International - FOS Pte Ltd
EA License No: 14C6926
EA Personnel: Foong Mei Qi
EA Personnel Reg No: R22106936
