AI Engineer

Senior AI LLM Engineer

Alpharetta, GA

Contract

Mphasis W2

Job Description
Skill Role Grade Location
Conversational AI Architect Level 6 or 7 Alpharetta, NJ




Job Description: Senior AI LLM Engineer
Position Overview
We are seeking a Senior AI LLM Engineer to design, deploy, and optimize production-grade conversational AI systems. You will build scalable tool-calling frameworks, integrate AI models with enterprise applications, and implement strict hallucination mitigation controls. A key focus of this role is developing traceable response systems and reusable explanation templates for complex financial calculations.
Key Responsibilities
AI Architecture & Production Deployment
Deploy Solutions: Build and maintain scalable, production-grade LLM applications.
Integrate Systems: Connect AI models with enterprise applications and secure APIs.
Build Frameworks: Develop robust tool-calling frameworks to orchestrate model-API interactions.
Prompt Engineering & Conversation Design
Design Strategies: Create advanced prompt strategies and conversation management frameworks.
Tune Responses: Optimize conversational context to ensure highly accurate user experiences.
Mitigate Risks: Implement automated controls to detect and eliminate model hallucinations.
Financial Logic & Traceability
Ensure Traceability: Build mechanisms that provide auditable, step-by-step reasoning for generated outputs.
Develop Templates: Create reusable explanation templates for pricing methods, revenue sharing models, and expense calculations.
Optimize Performance: Conduct continuous prompt tuning and model optimization for cost, latency, and accuracy.
Qualifications
Required Experience
Software Engineering: 5+ years of professional software development experience.
LLM Expertise: 3+ years of hands-on experience working directly with Large Language Models.
Prompt & Conversation Design: 3+ years of experience designing prompt strategies and managing conversation frameworks.
Response Tuning: 3+ years of experience implementing, tuning, and auditing conversational AI outputs.
o Providing traceable response generation.
o Developing reusable explanation templates for pricing methods, revenue sharing models, and expense calculations.
o Conducting prompt tuning and model optimization.
o Implement hallucination mitigation controls.
Technical Skills
Proven track record of deploying production-ready AI solutions at scale.
Deep understanding of API integration, tool-calling (function calling), and agentic workflows.
Experience embedding regulatory compliance, financial traceability, or audit trails into AI responses.