Software/Data Engineer (Python) - SPVL

We are looking for Software/Data Engineer to work on AI project within Cybersecurity domain:

• Responsible for managing database and server rack services supporting agentic solutions, run analysis, grant token access, re-train/refine the model & prompt-engineering
• Work location: Central (hybrid work arrangement)
• Entry level candidate with Cybersecurity related experience/internship are welcome to apply

What You'll Do

• Write and tune system prompts for AI agents following standards from the Senior AI Software Engineer.
• Reduce token cost using caching, batching, and routing to the right models.
• Set up production monitoring: tracing, cost and latency tracking, quality dashboards, and release checks.
• Improve model speed and deployment pipelines for production.
• Build and maintain tests for AI output quality - accuracy checks, regression tests, and reference question/answer sets.
• Implement fine-tuning workflows (e.g.LoRA/QLoRA) under senior guidance.
• Implement ML models and AI features for team usecases.
• Research and prototype new AI/LLM tools for CDOI security work.
• Prepare, version, and refresh datasets for RAG and fine-tuning - complete, accurate, and up to date.
• Maintain data systems for analytics, reporting, and AI across environments.
• Build pipelines: ingest data, parse, enrich, split text, embed, and load into vector stores and warehouses.

How to Succeed

• Min 4 years of experience in software engineering, data engineering, MLOps, or applied AI in production
• Experience in building Python services/APIs and production data pipelines
• Strong in Python and SQL on cloud analytics warehouses
• Experience with LangChain, LlamaIndex, LangSmith, MLflow, or OpenTelemetry will be an added advantage
• Background/knowledege in Cybersecurity will be an added advantage

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Liew Chien Hui - R2090138
ScienTec Consulting Pte Ltd - 11C5781