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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