AI Security Engineer

Job Title: AI Security Engineer

Location: Remote (but can travel once a month, On-demand travel to Iselin, NJ or Charlotte, NC as needed)

Duration: Long Term

Hacker Rank needed with Engineering / AppSec & Python

Candidates need to have:

• 5+ years of experience in Specialty Software Engineering or equivalent (e.g., consulting, military, or formal education).
• Strong development experience in Python and either Java or .NET (C#).
• Hands-on experience with AI/ML systems, including large language models (LLMs) such as Gemini or ChatGPT.
• Experience building AI agents, MCP components, and complex AI/ML pipelines.
• Familiarity with prompt engineering, including response handling and query customization.
• Expertise in software development best practices, including version control, testing, and secure coding.
• Strong understanding of performance optimization and compliance integration in AI systems.
• Experience working within regulated enterprise environments, with an emphasis on policy compliance.

Preferred Skills (Bonus):

• IDE extension or integration development experience.
• SDLC experience across both traditional and AI development lifecycles.
• Familiarity with internal controls, data privacy policies, and enterprise-grade LLM tuning.
• Experience collaborating across cross-functional teams including AI researchers, platform engineers, and compliance personnel.

Job Description:

• Design and develop the Model Context Protocol (MCP) framework from scratch to ensure prompt responses from LLMs comply with Wells Fargo standards.
• Build and integrate AI/ML agents that translate queries and interact seamlessly with internal knowledge repositories.
• Implement secure, policy-aligned prompt engineering and pre-processing logic to customize LLM inputs/outputs to enterprise expectations.
• Collaborate closely with the internal AI team and key stakeholders to align architecture and development with business requirements.
• Optimize AI models for responsiveness, reliability, and performance in a secure enterprise environment.
• Develop and maintain IDE extensions and integrations supporting AI-based development workflows.
• Contribute to design and execution across the entire SDLC, including code remediation, testing, deployment, and support.

Thanks,

Nitesh