HIPAA-Compliant AI Engineer: Prompting & Agentic LLMs

Techgene Solutions LLC; Dallas (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Techgene Solutions LLC is seeking an AI Engineer with hands-on experience in prompt engineering and LLM optimization to design, develop, and deploy context-aware AI agents. You will build MCP-based workflows, integrate with enterprise systems, and ensure HIPAA-aligned data privacy practices.

The role emphasizes security, governance, and reliable AI deployments. The candidate will work with product managers and engineers to translate business requirements into AI-driven solutions, focusing on

Qualifications

• Hands-on experience with LLMs such as GPT, Claude, Gemini, Llama, or similar models.
• Strong prompt engineering skills, including prompt templates, system prompts, few-shot prompting, and response tuning.
• Develop AI-powered applications using LLM APIs, RAG workflows, enterprise data sources, and backend services.
• Experience with LLM APIs and application integration using Python, Java, JavaScript, or similar programming languages.
• Knowledge of RAG, embeddings, vector databases, semantic search, and knowledge retrieval workflows.
• Understanding of healthcare data privacy and secure sensitive-data handling, including HIPAA-aligned PHI/PII practices, data minimization, de-identification, masking, access controls, auditability, and responsible use of healthcare data in AI workflows.

Responsibilities

• Design, develop, and optimize prompts for Large Language Models (LLMs) to improve accuracy, reliability, and business outcomes.
• Build and configure Agentic AI solutions that leverage planning, reasoning, memory, and multi-step task execution capabilities.
• Develop and integrate MCP (Model Context Protocol) tools, enabling AIagents to securely discover and interact with enterprise systems, APIs, and data sources.
• Design agent architectures, tool-calling frameworks, retrieval mechanisms, and context management strategies.
• Collaborate with product managers, architects, and engineering teams to translate business requirements into AI-driven solutions.
• Implement Retrieval-Augmented Generation (RAG), knowledge grounding, and context orchestration patterns.
• Define evaluation frameworks and prompt testing methodologies to measure agent performance, quality, and reliability.
• Ensure AI solutions adhere to security, compliance, governance, and responsible AI standards.
• Support deployment, monitoring, troubleshooting, and continuous improvement of AI agents and MCP-enabled workflows.
• Contribute to architecture reviews, technical design documentation, and engineering best practices for AI platforms.

Skills

Prompt engineering

LLMs knowledge

System prompts

Few-shot prompting

RAG workflows

Embeddings

Semantic search

NLP concepts

Guardrails

HIPAA security

PHI/PII handling

Auditability

Tools

Python

Java

JavaScript

LLM APIs

MCP servers

Job description

Techgene Solutions LLC is seeking an AI Engineer with hands-on experience in prompt engineering and LLM optimization to design, develop, and deploy context-aware AI agents. You will build MCP-based workflows, integrate with enterprise systems, and ensure HIPAA-aligned data privacy practices.

The role emphasizes security, governance, and reliable AI deployments. The candidate will work with product managers and engineers to translate business requirements into AI-driven solutions, focusing on