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AI Engineer

Asterism IT SolutionsDallas, TX🇺🇸United StatesPosted Sep 29, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Dallas, TX, United States
Posted
18 hours ago
NLPGPTHIPAAJavaJavaScriptLLMPython

Job Description

Job Title: AI Engineer
Location: Dallas TX/Chicago IL/NYC NY
Visa: OPT_EAD ,_EAD, USC
Exp: 9+ years
 
Job Description:
AI Engineer with strong hands-on experience in prompt engineering, LLM response optimization, and AI application development. The ideal candidate can design prompts, improve model output quality, help LLMs understand user input, and build reliable, context-aware AI solutions.
Key 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.
Required Skills:
  • 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.
  • Ability to evaluate and improve AI responses for accuracy, relevance, completeness, tone, and instruction following.
  • Understanding of NLP concepts, hallucination mitigation, prompt injection risks, guardrails, and responsible AI practices.
  • Knowledge 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.
  • Experience with MCP servers, cloud platforms, APIs, backend services, and production deployment is preferred.
  • Experience integrating AI agents with healthcare, health records, or regulated industry systems.

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