Cybersecurity Specialist

We are looking for a "Cybersecurity Specialist" for our client, an international AI development company based in New York. In this role, you will be responsible for strengthening the organization’s security posture, ensuring regulatory compliance, and collaborating with cross-functional teams to implement security best practices.

Who You’ll Work With
Design, implement, and monitor security controls across our environment while ensuring compliance with relevant financial industry regulations and frameworks. Serve as a key partner to IT, risk, and business teams to embed security best practices across the organization.

What You’ll Do
• You will work closely with product managers, data scientists, platform engineers, and client-facing teams to design, build, and deploy large language model-powered solutions.
• You will collaborate across disciplines to translate business problems into scalable AI systems that deliver measurable impact.
• Design, develop, and deploy LLM-based applications using state-of-the-art models and frameworks
• Translate ambiguous business problems into concrete AI architectures and technical solutions
• Build prompt strategies, retrieval-augmented generation pipelines, and evaluation frameworks
• Optimize model performance, cost, latency, and reliability in production environments
• Partner with product and client teams to ensure solutions are aligned with real-world use cases
• Contribute to internal best practices, tooling, and AI governance standards

What You’ll Bring
• Strong experience with Python and modern ML/AI frameworks,
• Hands-on experience working with LLMs in production environments,
• Solid understanding of data pipelines, APIs, and cloud-native architectures,
• Ability to reason clearly about trade-offs, risks, and system design,
• Strong communication skills and comfort working with non-technical stakeholders

Nice-to-Haves
• Experience with vector databases, embeddings, and semantic search,
• Familiarity with model evaluation, observability, and prompt testing frameworks,
• Experience deploying AI systems in regulated or enterprise environments