Senior-AppSec-AI-Automation-Engineer
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Job Description
- Design, develop, and optimize AI-driven automation solutions using LLMs, agent frameworks, and orchestration platforms.
- Own and deliver end-to-end implementation of solution components, including integration into enterprise systems and CI/CD pipelines.
- Optimize AI systems across dimensions such as latency, cost, accuracy, and scalability (e.g., caching, batching, prompt optimization).
- Develop and enhance Retrieval-Augmented Generation (RAG) pipelines, including chunking strategies, retrieval tuning, re-ranking, and embeddings optimization.
- Implement and optimize fine-tuning strategies, including dataset preparation, prompt tuning, and model evaluation workflows.
- Build and productionize agentic systems using frameworks such as LangGraph, AutoGen, CrewAI, Semantic Kernel, or equivalents.
- Develop automated evaluation frameworks, benchmarking pipelines, and model performance metrics.
- Contribute to AI harness frameworks, reusable accelerators, and enterprise AI development standards.
- Lead small workstreams, client discussions, demos, and proof-of-concept (POC) implementations.
- Mentor and review work of junior AI Automation Engineers, ensuring engineering quality and best practices.
- Collaborate closely with architects to translate high-level designs into scalable implementations.
- Ensure adherence to secure coding, DevSecOps, and AI security best practices.