Description

You will design and develop the Model Context Protocol (MCP) framework to ensure LLM prompt responses comply with enterprise standards.

Responsibilities

• Build and integrate AI/ML agents to translate queries and interact with internal knowledge repositories.
• Implement secure, policy-aligned prompt engineering and pre-processing logic for LLM inputs/outputs.
• Collaborate with AI teams and stakeholders to align architecture with business requirements.
• Optimize AI models for responsiveness, reliability, and performance in a secure environment.
• Contribute to the full SDLC, including remediation, testing, deployment, and support.

Required Skills

• 5+ years of experience in Specialty Software Engineering or equivalent.
• Strong development experience in Python and either Java or .NET (C#).
• Hands-on experience with AI/ML systems, including LLMs like Gemini or ChatGPT.
• Experience building AI agents and complex AI/ML pipelines.
• Familiarity with prompt engineering, response handling, and query customization.
• Expertise in software development best practices (version control, testing, secure coding).
• Understanding of performance optimization and compliance integration in AI systems.
• Experience working within regulated enterprise environments with policy compliance focus.
• Familiarity with SDLC processes.

Key Skills

Education

Any Gradute