Job Summary

You will partner with business stakeholders to design AI-driven extraction rules that convert unstructured documents into high-value structured data. You'll craft and evaluate prompts for LLM-based extraction, maintain a Python codebase that powers workflows, and translate stakeholder needs into repeatable, auditable extraction pipelines. How you'll make an impact: Translate business requirements into exact extraction targets, schemas, and quality thresholds. Design, test, and iterate prompts for LLM-based extraction; implement evaluation protocols (e.g., accuracy, precision/recall). Configure and maintain extraction workflows in Python, including parsing, validation, and post-processing rules. Triage and resolve minor code issues; write unit tests and improve logging, monitoring, and error handling. Work closely with the GB Data Science team in the US in an onsite-offshore model. Partner with business owners to review outputs, prioritize improvements, and manage a backlog in Azure DevOps.

Responsibilities

- Translate business requirements into precise extraction targets, schemas, and quality thresholds.
- Design, test, and iterate prompts for LLM-based extraction; implement evaluation protocols (e.g., accuracy, precision/recall).
- Configure and maintain extraction workflows in Python, including parsing, validation, and post-processing rules.
- Triage and resolve minor code issues; write unit tests and improve logging, monitoring, and error handling.
- Work closely with the GB Data Science team in the US in an onsite-offshore model.
- Partner with business owners to review outputs, prioritize improvements, and manage a backlog in Azure DevOps.





Education & Experience

- Preferred Degree: Bachelor s / Master s Degree in Statistics / Applied Math/Stats
- Experience: 2- 5 years as AI Engineer or Prompt Engineer, Understanding of designing data science experiments

Knowledge, Skills, and Ability

- This position is in a temperature-controlled office environment. The noise level in the work environment is usually light to moderate.
- This position is to work in a Hybrid model and depending on the need must be flexible to work from office/home as required to accomplish their role.

Preferred Skills and Technologies

- An undergraduate/Masters degree in Computer Science, Data Science, Information Systems, or equivalent experience.
- Experience with enterprise-scale datasets or high-volume document processing.
- Exposure to Azure services, ideally Azure AI Search/Cognitive Search and Azure OpenAI, Databricks, Snowflake.
- Experience in Python/Spark, CI/CD, Sci-Kit Learn, Git.
- Practical experience crafting prompts for LLMs and evaluating outputs (few-shot prompts, structured output formats, guardrails).
- Ability to read/modify Python scripts, debug minor issues, and write clear, maintainable code.
- Strong communication skills: can elicit requirements, clarify edge cases, and document decisions and workflows.
- Working knowledge of handling sensitive data securely and following standardized procedures.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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