Associate Analyst - GPT

Key Responsibilities

1) Design, develop, and optimize GPT-based solutions for cyber security use cases.

2)Engineer advanced prompt frameworks, system instructions, and guardrails to ensure accurate, consistent, and secure model outputs.

3)Develop and manage retrieval-augmented generation (RAG) pipelines, embedding strategies, and contextual memory architectures to improve model relevance and domain specificity.

4)Fine-tune and evaluate LLM performance using structured datasets aligned with cyber security workflows.

5) Integrate GPT-based capabilities into security platforms such as SIEM, SOAR, CTI platforms, and ticketing systems (e.g., Sentinel, XSOAR, Service Now).
Build automated pipelines for model validation, performance bench-marking, hallucination reduction, and output quality scoring.

6) Collaborate closely with cyber security operations teams (SOC, IR, CTI, VM) to translate operational challenges into scalable AI-driven solutions.

7)Implement responsible AI controls, including data privacy, prompt injection protection, role-based access controls, and output validation mechanisms.
Continuously monitor production model performance and refine outputs through feedback loops and telemetry-based optimization.

8) Strong hands-on experience working with transformer-based models (GPT or equivalent LLMs).

9)Advanced prompt engineering expertise including structured prompts, system conditioning, chain-of-thought prompting, and role-based context design.
Experience building or implementing RAG (Retrieval-Augmented Generation) architectures.

10) Familiarity with embeddings, vector databases, semantic search, and context optimization.
Understanding of fine-tuning workflows, model evaluation metrics, and bias mitigation strategies.

11) Experience working with OpenAI APIs or equivalent LLM APIs in production environments is a plus.

12) Strong proficiency in Python for AI development and automation.
Understanding in ML/NLP...